Analytics Visionary. AI Strategist.
Problem Solver.
Top Skills
Harnessing over 7 years of immersive experience in the realm of Data Science, specializing passionately in AI and Machine Learning. My toolset embraces Python, R, SQL, Javascript, Tableau, and Docker - a symphony I command adeptly. This mastery empowers me to craft and launch cutting-edge solutions, consistently delivering remarkable outcomes.
  • Python
    Python has been my canvas for creativity, specifically within the realms of machine learning, deep learning, natural language processing, and computer vision. My intimate acquaintance with Python's libraries empowers me to weave together intricate solutions, uniquely tailored to fulfill the distinct aspirations of each client.
  • R
    Across a transformative journey, I've honed my craft in advanced R programming, sculpting data analysis and modeling tools that fuel organizational insights and steer business expansion. My expertise in wrangling complex datasets, conducting robust statistical analysis, and weaving intricate data visualizations through R empowers me to consistently exceed client expectations with tailor-made solutions.
  • SQL
    My mastery in SQL programming emerges as a cornerstone in architecting robust and scalable databases. These databases don't just serve as repositories, but as dynamic drivers of operational excellence and informed decision-making. Guided by an intimate understanding of SQL and its companion technologies, I take immense pride in weaving database solutions that seamlessly embrace each client's vision, consistently yielding outcomes that resonate with both efficiency and tangible, meaningful impact.
  • Javascript
    My affinity for Javascript flourishes in the realm of shaping AI-powered websites. Each line of code becomes a brushstroke, painting engaging and intimately tailored user experiences. By intricately navigating Javascript frameworks and libraries, I breathe life into dynamic, interactive webscapes. Moreover, my integration of machine-learning models adds a layer of cognitive depth, enabling these digital realms to not only offer perceptive recommendations but also to anticipate user needs through predictive analytics, fostering a profound sense of connection and resonance.
  • Tableau
    My devotion to crafting custom dashboards, reports, and visualizations has evolved into an art form. Each stroke of design has a purpose: to empower businesses to unearth the veiled tales within their data narratives. With Tableau's advanced capabilities as my brush, I intricately bring to life interactive canvases that fluidly respond to users' queries, revealing insights as they're sought. The symphony of data blending, mapping, and predictive analytics is my composition, resonating with clients as they embark on a journey of confident, data-driven choices, harnessing the true essence of their information.
Embarking on a journey that spans beyond time, I've woven my expertise in various technologies into my core. With a deeply personal touch, I engineer solutions that exude innovation, seamlessly optimizing operations, unearthing precious customer insights, and igniting the fires of business growth, all by unlocking the limitless potential of cutting-edge technologies.
With 7+ years in the field, I bring a wealth of experience to the table, navigating data intricacies with finesse. My track record includes solving complex problems, transforming raw data into actionable insights. I possess a strong blend of technical skills and a strategic mindset, ensuring every project is a success. Choose me for a seasoned professional who consistently delivers value through deep expertise and a commitment to excellence.
Expertise across several frameworks
Effective cross-functional team collaborator
Strong foundation in mathematics and statistics
Project Portfolio
Step into my GitHub portfolio—a chronicle of my Data Science passion. Within each repository, you'll unearth stories of insight, from predictive trends to unwound patterns. Embark on this digital journey where code crafts narratives, algorithms ignite revelations, and data metamorphoses into innovation. Here, data shapes knowledge, all fueled by an unwavering pursuit of excellence and a deeply personal connection to the craft.

Simple Projects

These projects typically involve five or fewer tasks and contain less than 200 lines of code. They also involve minimal frameworks, allowing for a more hands-on approach to coding. This section showcases my ability to create effective and efficient solutions with minimal resources. Despite their simplicity, these projects demonstrate my attention to detail and commitment to producing high-quality work.

Link to GitHub

Intermediate Projects

These projects typically involve at least five tasks and contain less than 500 lines of code. They also use no more than two frameworks, allowing for a focused approach to development. This section aims to showcase my ability to create more complex and sophisticated solutions requiring higher technical expertise. Despite their complexity, these projects demonstrate my ability to manage and organize code effectively.

Link to GitHub

Advanced Projects

These projects typically involve at least ten tasks and contain more than 500 lines of code. They also use multiple frameworks, allowing for a more comprehensive approach to development. This section aims to showcase my ability to create complex and sophisticated solutions that require a high level of technical expertise. Despite their complexity, these projects demonstrate my ability to manage and organize code effectively while maintaining high performance.

Link to GitHub

AI-Specific Projects

These projects showcase my skills and experience in the field of artificial intelligence. This section aims to demonstrate my expertise in developing solutions that leverage AI technologies, such as machine learning, natural language processing, computer vision, and more. Additionally, this section allows me to showcase my experience with popular AI frameworks and tools, such as TensorFlow, PyTorch, and Keras. Overall, this section serves as a testament to my proficiency in AI technologies and my ability to develop innovative solutions that leverage the power of AI.

Link to GitHub

Data Analyst Projects

These projects demonstrate my proficiency in collecting, cleaning, analyzing, and visualizing data to generate insights that inform business decisions. Whether performing exploratory data analysis, creating data visualizations, or developing predictive models, these projects highlight my ability to turn complex data into actionable insights. Additionally, this section allows me to showcase my experience with popular data.

Link to GitHub
Thanks to my career experiences, I've come to regard deep learning as a captivating orchestra. It's a realm where each layer of neurons resembles a skilled musician, playing their unique instrument. Together, they unite their melodies, weaving an exquisite symphony of prediction that resonates with a personal fascination and the precision that only experience can bring.
Top Frameworks
I've cultivated a deep familiarity with the intricate development processes and nuances inherent to each framework. These tools have become an integral part of my skill set, allowing me to confidently wield their capabilities and craft impactful solutions that resonate with a personal touch.
My journey in the field led me to a significant milestone where PyTorch took center stage. In this endeavor, I meticulously designed a deep learning model from the ground up, customizing layers and employing automatic differentiation. The culmination was a meticulously fine-tuned model that showcased exceptional accuracy on the validation set—an embodiment of my intimate grasp of PyTorch's intricacies and my deep understanding of the art of deep learning.
Neuroevolution of Augmenting Topologies (NEAT)
In a recent chapter of my journey, I delved into the realm of Neuroevolution of Augmenting Topologies (NEAT). This intriguing genetic algorithm empowers the evolution of artificial neural networks. Within NEAT's framework, I crafted networks of diverse structures and sizes, meticulously tailored to address distinct challenges. What fascinated me even more was the application of evolutionary techniques to a neural network's architecture, leading to heightened performance and swifter solution discovery. My engagement with NEAT was a rewarding voyage, igniting my enthusiasm to integrate this technology into my upcoming ventures.
Within my toolkit, I seamlessly intertwine SciPy's submodules—NumPy, pandas, and matplotlib—to orchestrate data preprocessing, modeling, and visualization with finesse. My proficiency traverses a spectrum, encompassing clustering, classification, regression, and feature extraction. This proficiency converges in the realm of model evaluation and tuning, where I meticulously craft solutions that resonate with precision and ingenuity.
Through Tkinter's canvas, I've crafted a myriad of graphical user interfaces, seamlessly weaving together forms, buttons, labels, and text boxes. This canvas allowed me to not only apply intricate layouts and visual effects but also dive into the realm of customization, shaping the application's aesthetic to match specific needs. With event handlers in my repertoire, I breathed interactivity into each creation. Tkinter's prowess transformed my vision into reality—empowering the creation of dynamic, engaging, and aesthetically pleasing GUI applications.
In my journey, I've harnessed the prowess of Scikit, a cornerstone Python library for machine learning and data analysis. This versatile toolkit harbors an array of machine-learning algorithms, statistical functions, and data preprocessing tools, delivering boundless potential. Its impact resonates across classification, regression, clustering, and feature selection realms, fueling solutions that marry power and precision. Supported by a vibrant online community, Scikit's user-friendly nature is fortified with a wealth of tutorials, documentation, and camaraderie. To me, Scikit stands as an indispensable companion for every data scientist and machine learning devotee.
Matplotlib emerged as my artistic palette, enabling the creation of informative and visually captivating data visualizations and graphs. Its flexibility empowered me to customize data displays, breathing life into my insights. I ventured beyond static visuals, harnessing the library to craft interactive masterpieces that leveraged the synergy of JavaScript and HTML. My portfolio is a living testament, showcasing my prowess in transforming intricate data into visually enchanting narratives, all thanks to the magic woven by Matplotlib.
Immersing myself in a PyGame project, I embarked on crafting a captivating sidescrolling platformer game. Leveraging the library's robust game development features, I seamlessly managed game elements, sprites, and intricate logic. PyGame's versatility extended to encompass soundscapes and musical ambiance, elevating the gameplay experience to a new level of immersion. The result? A swift journey towards developing a game that marries high-quality visuals and a symphony of sound, all orchestrated by PyGame's harmonious capabilities.
With spaCy, an advanced natural language processing library, I delved into the realm of extracting gems from unstructured text. Embracing features like tokenization, part-of-speech tagging, dependency parsing, and named entity recognition, spaCy emerged as a treasure trove of functionalities. This toolkit became invaluable, serving as the backbone for my project. Beyond this, spaCy's prowess extended its arms to construct applications that not only understood the nuances of written and spoken language but also provided insights that were otherwise buried within the words.
Within my toolkit, NumPy has been a steadfast companion—empowering scientific computing and data manipulation with its versatile functions. It ushered me into a realm of numerical and statistical operations, unveiling the magic of linear algebra, matrix transformations, and Fourier analysis. NumPy's adeptness in handling arrays and matrices proved invaluable, effortlessly maneuvering through large datasets. This confidence in NumPy's prowess echoes my belief in its enduring role as a cornerstone in my data science problem-solving journey.
In a transformative endeavor, I crafted a predictive analytics marvel using the cutting-edge prowess of TensorFlow's advanced Machine Learning platform. Teaming up with domain experts, I fortified an environment that blended security with efficiency, laying the foundation for innovation. My contributions extended to the creation of custom algorithms, a synergy that elevated model accuracy to new heights. Through this journey, my voyage with TensorFlow instilled me with unwavering confidence and deep insights, equipping me to navigate and excel within intricate and intricate ecosystems.
Steeped in a wealth of experience, I wield Pandas—a robust open-source data analysis library—with mastery. Its capabilities become my brush, allowing me to seamlessly cleanse, transform, and dissect datasets spanning diverse sizes and intricacies. As I traverse through data, I unravel hidden trends and detect anomalies, harnessing visualization to showcase the essence of analyses. Whether it's crafting pivot tables for succinct data summaries, executing calculations, or infusing new dimensions, my profound grasp of Pandas' features ensures my proficiency in the art of handling data effectively and with precision.
Seaborn became my creative canvas for crafting sophisticated data visualizations. Its user-friendly interface unlocked a world where I could swiftly transform insights into visually captivating narratives. From heat maps to scatter plots and line plots, I embraced diverse plot types to unveil the stories within the data. The power of customization was at my fingertips, enabling me to fine-tune elements like color palettes, font sizes, and axis labels. The culmination? A collection of visuals that not only stunned the eye but also eloquently communicated the depth of my data-driven insights.
Made on