Data Scientist | Machine Learning & Big Data Enthusiast | AI Innovator

Welcome to my GitHub profile! I'm a results-driven Data Scientist with over 5 years of professional experience in Machine Learning, Data Engineering, and Big Data Analytics. Holding a Master's degree in Data Science and Business Analytics from the University of North Carolina at Charlotte, I've built a strong foundation in crafting scalable data-driven solutions that empower decision-making and unlock growth opportunities for businesses.

• Passionate Problem Solver: I thrive on solving complex business challenges through innovative data science techniques, predictive modeling, and advanced analytics.
• Proven Experience: Successfully executed multiple high-impact projects and internships, specializing in time series forecasting, recommendation systems, NLP, and predictive modeling using tools like Python, TensorFlow, PyTorch, and SQL.
• Big Data Expertise: Hands-on experience with Apache Spark, Hadoop, Databricks, Google BigQuery, and building data pipelines using Airflow, Kubernetes, and CI/CD workflows.
• Visualization & Insights: Proficient in creating interactive dashboards with Tableau, Power BI, and Python libraries like Matplotlib and Plotly to translate data into actionable business insights.
• Generative AI Enthusiast: Skilled in fine-tuning LLMs (GPT, LLAMA2) and leveraging frameworks like LangChain for conversational AI solutions and business automation.

• Programming Languages: Python, R, SQL, MATLAB, SAS
• Machine Learning & AI: Regression, Classification, NLP, LLMs, Time Series Forecasting, Deep Learning (CNNs, RNNs, GANs)
• Big Data & Cloud Platforms: GCP, AWS, Azure, Spark, Hadoop, Databricks
• DevOps & Automation: Docker, Kubernetes, Apache Airflow, CI/CD Pipelines
• Visualization Tools: Tableau, Power BI, Seaborn, Plotly, D3.js

• Tennis Betting Prediction: Built a machine learning model to predict outcomes in tennis matches, integrating feature engineering and time series forecasting.
• Customer Lifetime Value Prediction: Developed a predictive model for high-value customer retention using regression and clustering techniques.
• Generative AI-Powered Chatbot: Created an LLM-based conversational assistant leveraging LangChain and Hugging Face embeddings.
• Market Basket Analysis: Designed a recommendation system for grocery chains to optimize product placement and sales strategies.

I’m actively looking for full-time roles as a Data Scientist or AI/ML Engineer where I can contribute to solving critical business problems, optimizing operations, and driving innovation with data.

Let’s connect!
📧 Email: [email protected]
🔗 LinkedIn: Sohan Reddy Ganampeta

Feel free to explore my repositories and reach out if you have any questions or opportunities to collaborate!