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Adithyaprahasith/README.md

๐Ÿ‘‹ Hi, I'm Adithya Prahasith

I'm a Data Science Professional, passionate about turning raw data into actionable insights. With over 4 years of experience in B2B SaaS, E-Commerce, and marketing analytics, I specialize in solving business problems through a combination of SQL, Python, Machine Learning, Data Visualization, and Storytelling.

๐Ÿ› ๏ธ Tech Stack

  • Programming Languages: Java, Python (NumPy, Pandas, Scikit-Learn, Matplotlib, Keras), Advanced SQL, R.
  • Business Intelligence & Visualization: Tableau, Power BI, Looker Studio, Advanced Excel.
  • Databases & ETL: PostgreSQL, AWS Redshift, MongoDB, Hive, Apache Airflow, Spark, DataBricks.
  • Data Analysis & ML: Regression, Clustering, Time-Series Analysis, Hypothesis Testing, Data Manipulation, EDA.
  • AI/LLM: Fine-Tuning, RAG (Retrieval-Augmented Generation), LlamaIndex, Prompt-Engineering.

๐Ÿ“ˆ Highlight Projects

  • LLM Fine-Tuning & Eval: Led an end-to-end LLM fine-tuning pipeline with LoRA, Unsloth, and Hugging Face, and evaluated outputs using Evidently AI (Correctness, Safety, PII).
  • A/B Test for portfolio optimization: Increased user engagement by 62% and reduced bounce rate by 31% by conducting A/B testing on 1.2k+ sessions, applying statistical testing in Python to validate hypotheses.
  • Tobacco Complaint Analysis: Built a predictive model and a GPT-4 RAG chatbot to streamline access to FDA complaint data and forecast health risks.
  • Balanced Tree Clothing Analytics: Created automated SQL reports and visualizations for $1.25M+ in sales, driving loyalty program insights.
  • Web Traffic Dashboard (Linkfire): Visualized 225K+ user events to uncover low-converting regions and optimize content targeting.
  • Financial Complaints Analysis: Uncovered trends across 62K+ complaints, helping risk teams prevent fraud exposure.
  • End-to-End ML Pipeline: Developed a flight fare prediction pipeline by scraping 2,200+ real-time flight listings from Kayak using python (selenium & BeautifulSoup), performed data cleaning/EDA validations, and trained multiple ML models, achieving an 87% Rยฒ score with Random Forest Regressor.

๐Ÿ’ฌ Letโ€™s Connect

Thanks for stopping by! Feel free to explore my repos and reach out if you'd like to collaborate or chat about data, AI, or analytics.

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  1. Data-Analytics-Projects Data-Analytics-Projects Public

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  2. Tableau-Dashboards-by-Adithya Tableau-Dashboards-by-Adithya Public

  3. ML_Data_Science_Projects ML_Data_Science_Projects Public

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