About Me
Results-driven Data Scientist and ML Engineer with hands-on internship experience in end-to-end ML pipelines, predictive modeling, EDA, and BI dashboard development. Proficient in Python, Scikit-learn, SQL, and Power BI across supervised and unsupervised learning workflows. Built and deployed 3 live Streamlit applications processing real-world datasets. Certified by AWS and MathWorks; recognised by Deloitte.
Skills & Technologies
Work Experience
Data Scientist Intern
Designed and executed end-to-end data preprocessing pipelines using Python and SQL. Built and tuned supervised ML models. Conducted in-depth Exploratory Data Analysis (EDA) and developed interactive Power BI dashboards.
Embedded Systems & AI Intern
Developed embedded systems using the STMicroelectronics AI ecosystem and applied ML algorithms in Python.
Projects
AI Retail Recommendation System
Built an end-to-end recommendation engine using Market Basket Analysis with intelligent filtering for retail decisions.
IPL Smart Analytics Dashboard
Engineered analytics pipeline on IPL match data with multi-view dashboards and a public demo video.
Automated ML Regression Pipeline
Developed an automated pipeline covering data cleaning, handling missing values, and training regression models.
AI Retail Recommendation System
Built an end-to-end recommendation engine using Market Basket Analysis with intelligent filtering for retail decisions.
IPL Smart Analytics Dashboard
Engineered analytics pipeline on IPL match data with multi-view dashboards and a public demo video.
Automated ML Regression Pipeline
Developed an automated pipeline covering data cleaning, handling missing values, and training regression models.
Education
BTech
Electronics and telecommunication
B.Tech
General