Adheesh Kumar Srivastava

I am currently pursuing a BSc in Data Science at IIT Madras, where I have already completed my diploma, and I am also an analytical and results-oriented Data Scientist with 5 years of experience, including 3 years as a Data Analyst and 2 years as a Data Scientist. Skilled in data analytics, machine learning, AI-driven automation, and end-to-end application development. I am adept at transforming complex data into actionable insights, building scalable ML models, and developing robust web applications. Strong expertise in Python, Flask, Streamlit, Vue.js, Redis, Celery, Power BI, and advanced ML frameworks. I am currently pursuing a BSc in Data Science from IIT Madras, having already completed a diploma, and also hold a BS in Computer Science from BITS Pilani.

• Diploma in Data Science – IIT Madras
• Machine Learning Foundation - Percipio
• Machine Learning Specialization – Coursera
• Mathematical Foundations for DeepLearnAI – Coursera
• Google Data Analytics - Coursera
• Forecasting Workshop
• Image Processing
• LLM Orchestration
• Google Cloud Platform – L200 skill badges
• Orchestrate LLM solutions with LangChain
• Text Prompt Engineering Techniques
• Inspect Rich Documents with Gemini Multimodality
• Vertex AI Search & Conversation for Voice/Chat Apps
• Explore Generative AI with Vertex AI Gemini API
• Develop GenAI Apps with Gemini and Streamlit
• Build and Deploy ML Solutions on Vertex AI
• Build Custom Processors with Document AI
• Build Deterministic Virtual Agent with Data Stores
• Empower Gemini with Function Calling

• Employee of the Month for delivering automation solutions reducing ticket resolution time.
• Published internal whitepapers on ML optimization and WaveNet architectures.
• Delivered internal training sessions on ML pipelines and Generative AI integration.

Household Services App, Flask, HTML Rendering, Developed a multi-user platform for managing comprehensive home services with admin and professional modules. Implemented secure authentication, role-based access control, and booking management. Vehicle Parking App, Flask API, Vue.js, Redis, Celery, Created a parking management system for 4-wheeler parking, handling lots, spots, and reservations. Integrated Celery for async tasks, Redis caching, and automated CSV/PDF report generation. Analytics Application for State Street, Built a Streamlit-based analytics tool for data summarization, issue detection, and generating inference reports for clients. Machine Learning Projects, Ticket Classification: Automated ITSM ticket routing using Transformer models., Bank Telemarketing Prediction: Developed a Kaggle solution predicting customer subscription success with XGBoost and LightGBM., CrimeCast: Forecasted crime categories using classification and time series techniques., Solution Recommendation System: Used NLP embeddings to map issue descriptions to solution catalogs.

Python, SQL, R, Pandas, NumPy, Spark, Scikit-learn, XGBoost, LightGBM, CatBoost, Transformers, Neural Networks, TensorFlow, PyTorch, GRU, LSTM, CNN, Power BI, Tableau, Matplotlib, Plotly, Seaborn, Flask, Streamlit, Vue.js, REST APIs, Celery, Redis, Azure, GCP (Vertex AI), Databricks, MLflow, Git, Docker, Airflow, Streamlit, Statistical Modeling, NLP, Time Series Forecasting, Generative AI (LangChain, Gemini API)

• Mentorship & Knowledge Sharing: Conduct internal workshops on AI/ML, MLOps, and Data Visualization for peers and junior colleagues.
• Continuous learning: pursuing advanced certifications in generative AI, Google Cloud, and machine learning specializations
• Public speaking: Delivered talks in internal tech meetups on topics like transformers, CapsNet, and feature engineering
• Volunteering: contributed to tech education initiatives, mentoring students aspiring to enter data analytics and data science fields