Machine Learning Data Science

BHARATI JAGDISH PANIGRAHI

Los Angeles, CA 213-***-**** ********************@*****.*** LinkedIn GitHub Portfolio Google Scholar EDUCATION

University of Southern California, Los Angeles, USA August 2023 - May 2025 Master of Science in Computer Science

NMIMS University, Mumbai, India July 2019 - June 2023 Bachelor of Technology in Data Science 3.81/4.00

EXPERIENCE

THINK ANALYTICS INDIA PVT. LTD. January 2023 - July 2023 Data Science Intern Python, Data Processing, Machine Learning, Tableau, Power BI, MS Excel Mumbai, India

• Refined financial models, improving accuracy by 7% through data standardization and outlier removal.

• Reduced data processing time by 40% for Financial Information Users by designing visualization tools in Tableau and Power BI.

• Strengthened risk assessment by 20.5% through analytics on 100K+ financial records, enhancing credit underwriting strategies. PUBLISHSUTRA – A PRODUCT OF MIGCIP INNOVATION LABS PVT. LTD. December 2021 - June 2022 Research Analyst Python, Data Pre-processing, Principal Component Analysis, Machine Learning Hyderabad, India

• Authored and published 2 research papers on crop productivity and Zero Hunger SDGs in Taylor & Francis and Elsevier.

• Minimized prediction error by 15% and identified rainfall as the key factor in crop yield using PCA and ML.

• Enhanced analytical efficiency by 25% by leveraging Python, Excel, and Power BI, streamlining data-driven insights. PROJECTS

Stock Price Analysis & Algorithmic Trading Python, Flask, yFinance API, ARIMA, LSTM, Data Analysis, Algorithmic Trading

• Architected a real-time stock analysis and trading system using Flask & Finance API, accelerating data retrieval by 30%.

• Orchestrated an interactive frontend with HTML, CSS & JavaScript, enhancing portfolio management efficiency by 40%.

• Engineered algorithmic trading strategies using Moving Averages & Exponential Smoothing, creating a mock trading environment that simulated portfolio returns, increasing trade accuracy by 25%. AI Financial Goal Planner (Link) Python, Langchain, RAG Architecture, LLM, Embedding, Prompt Engineering, Financial Modeling

• Built an AI Financial Goal Planner with LLaMA 3.1 & ChromaDB, generating customized savings plans from income and expenses.

• Boosted goal-setting efficiency by 40% by developing a RAG system matching user goals with 5,000+ strategies in ChromaDB.

• Integrated a Streamlit app with Open Banking APIs, analyzing spending to help users set financial goals 30% faster. Optimized Small Language Models with LoRA Adapters (Link) Python, LoRA, Fine-tuning, Small Language Models, Model Optimization

• Fine-tuned SLM with LoRA adapters, achieving 64.56% accuracy in math reasoning, comparable to larger models.

• Enhanced code generation, increasing accuracy from 8.5% to 21.6% while maintaining computational efficiency.

• Improved summarization and reasoning, outperforming Llama-3B and aligning Mistral-7B with 50% fewer parameters. Skin Cancer Detection & Credibility Assessment using XAI (Link) Medical Imaging, Image Classification, Model Interpretability

• Developed a deep learning model with 90.21% accuracy, improving skin cancer detection and diagnosis.

• Enhanced AI transparency using SHAP, enabling medical professionals to interpret and trust model predictions.

• Processed and analyzed 32,500+ skin lesion images, leveraging advanced machine learning for early cancer detection. Cyberbullying Detection (Link) Python, Tableau, Active Learning, Text Classification, Real-time Warnings, Social Media Analysis

• Engineered an AI-driven cyberbullying detection system using Python, NLP, and ML, boosting accuracy by 30%.

• Processed & classified 500K+ messages using Active Learning, optimizing detection across multiple ML models.

• Reduced false positives by 20% by fine-tuning classification models across diverse datasets and refining feature selection. TECHNICAL SKILLS

Programming & Development: Python, JavaScript, R, Shell Scripting, HTML, CSS, Flask, Angular, Express.js, Node.js, PySpark, Bootstrap, REST API, JSON, AJAX, Git, GitHub, Postman, Jira, Data Structures, Algorithms AI & Machine Learning: Machine Learning (TensorFlow, Scikit-learn, Pandas, NumPy), Deep Learning (DL), Neural Networks (CNNs, RNNs, GANs, Transformers), Reinforcement Learning, Predictive Modeling, Natural Language Processing (Topic Modeling, Text Clustering, Sentiment Analysis, Web Scraping, Text Classification), Computer Vision, Generative AI, Transfer Learning, Model Evaluation and Optimization, Data Cleaning, Feature Engineering, Regex, Retrieval Augmented Generation, ARIMA, LSTM Big Data & Cloud Computing: Hadoop, MapReduce, Apache Spark, Large-Scale Data Processing, ETL, Data Pipelines, SQL, MySQL, Google Cloud (GCP), Azure, AWS (EC2, EBS, IAM, DynamoDB, S3, Lambda) Statistics & Analytics: Probability, Statistics, Regression, Time Series Forecasting, A/B Testing, Hypothesis Testing, Bayesian Methods, Data Mining, Data Analysis & Visualization (Tableau, Power BI, Looker, MS Excel) Environments & Tools: Linux/Unix, MacOS, Windows, VSCode, XCode, Jupyter Notebooks, Google Colab LEADERSHIP POSITION & CERTIFICATIONS

Omdena, India (Link) Web Scraping, Data Cleaning, Regex, SpaCy, Matplotlib, Hugging Face April 2022 - May 2022 Led a team of 15+ to develop an AI-powered healthcare chatbot, leveraging NLP and Active Learning to improve query resolution accuracy by 85%, optimize data pipelines for 500,000+ records, and enhance response quality by 40%. AWS Cloud Technical Essentials − Amazon Web Services (AWS) & Coursera Architecting Solutions on AWS − Amazon Web Services (AWS) & Coursera

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