Data Analyst with less than a year in Data Analysis & Machine Learning
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Data Analyst with hands-on experience in data cleaning, data analysis, visualization, and machine learning through academic projects and internships. Proficient in Python, SQL, Power BI, and Excel to transform raw data into actionable business insights. Skilled in creating dashboards, performing exploratory data analysis (EDA), and building data-driven solutions.
St. Joseph's College (Autonomous)
M.Sc. · Data Science
August 1, 2024 – June 30, 2026
Hindusthan College of Arts and Science
B.Sc. · Computer Technology - Data Science
August 1, 2021 – June 30, 2024
Zuntra Digital
Data Analyst Intern
January 1, 2026 – April 1, 2026
India
Nandha Infotech
Data Analyst Intern
May 1, 2025 – June 1, 2025
India
Cognitive Overload Prediction System
June 23, 2026 – Present
Developed an end-to-end machine learning solution to predict cognitive overload from behavioral data using Random Forest, achieving approximately 90% model accuracy. Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and class balancing to improve model performance and prediction reliability. Built and deployed an interactive Streamlit dashboard with real-time predictions, confidence scoring, and data visualizations to support continuous monitoring and decision-making.
ML-Based Gold Price Forecasting for India
June 23, 2026 – Present
Developed a gold price forecasting model by integrating global gold prices, exchange rate data, and GST calculations to generate India-specific pricing insights. Performed feature engineering and trained a Random Forest regression model to predict commodity prices with 98-99% accuracy. Automated 7-day price forecasts and evaluated model performance to support data-driven decision-making.
Data Analysis (Python, SQL, Power BI, Excel)
T4TEQ Software Solution
June 1, 2026 – Present
Python 101 for Data Science
IBM
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Research Paper Presentation
International Conference
June 1, 2026 – Present
Student Development Program
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in data science and analytics, aligning well with a Data Analyst role. The diversity of projects (cognitive overload prediction, gold price forecasting) and exposure to various tools (YOLO, Roboflow) indicate a willingness to explore different data types and methodologies. The certifications further support a proactive learning attitude, which is a good cultural fit for a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with team members and automate repetitive tasks, indicating a team-oriented and efficiency-driven mindset. The project descriptions show initiative in developing end-to-end solutions, which is positive for operational fit. However, the experience is primarily academic and internship-based, suggesting a need for further development in real-world operational contexts.