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Data Analyst with 2+ years in Data Analysis & Machine Learning
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To pursue a dynamic and challenging career as a Data Analyst, leveraging my background as an ECE graduate and specialized training in Data Analysis. I aim to apply my analytical skills, programming expertise in Python, and knowledge of machine learning algorithms to contribute to data-driven solutions and support organizational growth. With a strong foundation in data analysis, statistical modeling, and problem-solving, I am eager to enhance my skills in real-world projects and collaborate in a progressive organization that fosters continuous learning and innovation.
Innomatics Research Labs
Data Analyst
August 1, 2024 – June 30, 2025
Malla Reddy Institute of Engineering and Technology
Bachelor's of technology
August 1, 2015 – June 30, 2019
Global Logic
Analyst(Non technical)
February 1, 2022 – January 1, 2024
Hyderābād, Telangana, India
Exploratory Data Analysis on car price prediction
June 23, 2026 – Present
Collected data from the official Cars24 website, including features like Brand, Variant, Fuel Type, EMI, Driven KM, and Price. Cleaned the dataset by removing special characters, handling missing values, and ensuring consistency across the data. Generated a final dataset ready for analysis and visualization. Performed initial EDA to identify patterns and relationships in the data, gaining insights into used car market trends.
Database Design and Management for Library Inventory and Operations
June 23, 2026 – Present
Designed an efficient database schema for managing inventory, membership, and borrowing records. Performed ETL processes to migrate and clean legacy data for seamless integration into the new system. Created complex SQL queries to monitor overdue books, generate reports, and streamline operations. Applied primary and foreign keys to ensure data integrity and maintain relational consistency across tables.
Predicting Heat Index Using Machine Learning for Weather Forecasting
June 23, 2026 – Present
Developed a model to forecast the maximum heat index using weather data (temperature, humidity, wind speed, pressure). Performed data cleaning, feature engineering, and applied machine learning algorithms like Random Forest, XGBoost, and Linear Regression. Optimized model performance using cross-validation and hyperparameter tuning, evaluating with metrics like RMSE and R-squared. Achieved high prediction accuracy, providing valuable insights for weather-related decision-making and forecasting.
Exploratory Data Analysis
Innomatics Research Labs
June 1, 2026 – Present
Advanced Data Science with Python
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis and machine learning concepts. The pursuit of a Data Analyst certification and an 'Advanced Data Science with Python' certification indicates a strong desire for continuous learning and professional development, which aligns well with a progressive organizational culture. The projects cover diverse aspects of data analysis, from market trend prediction to database management and weather forecasting, showing breadth in application areas. The non-technical experience, while not directly related to data analysis, suggests an ability to work in a team and interact with clients, which is beneficial for cultural integration.
Soft Skills & Operational Fit
The candidate's non-technical role at Global Logic suggests developed communication, team collaboration, problem-solving, and time management skills. These are valuable for operational fit in a data analyst role, especially when interacting with stakeholders and presenting findings. However, the description lacks specific examples of how these skills were applied in a data-driven context.