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Data Analyst with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Computer Science graduate with a strong foundation in data analysis, machine learning, SQL, and business intelligence. Proficient in Python, Power BI, and advanced data processing techniques. Demonstrated ability to build end-to-end analytical solutions—from data cleaning and exploratory analysis to predictive modelling and interactive dashboards. Seeking an Analyst role at Tech Mahindra to drive data-driven decision making, generate actionable insights, and support stakeholder communication across enterprise analytics initiatives.
Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Electricity Price Forecasting using Machine Learning
January 1, 2025 – December 31, 2025
Engineered a regression-based ML model to forecast electricity market prices using 2+ years of historical time-series data, achieving measurable reduction in prediction error via cross-validation. Executed end-to-end data pipeline: data preprocessing, feature engineering, outlier treatment, and exploratory data analysis (EDA) to prepare high-quality inputs for modelling. Evaluated multiple algorithms (Linear Regression, Random Forest) using RMSE and MAE metrics; optimized final model through hyperparameter tuning via GridSearchCV.
Customer Churn Prediction
January 1, 2024 – December 31, 2024
Built a binary classification model to identify at-risk customers, enabling proactive retention strategies and supporting data-driven business decision-making. Applied feature selection, data cleaning, and SMOTE-based class balancing to improve model reliability; achieved improved accuracy through systematic hyperparameter optimization. Produced a stakeholder-ready analytical report summarizing churn drivers and recommended interventions.
Sales Data Analysis Dashboard
January 1, 2023 – December 31, 2023
Designed and deployed an interactive Power BI dashboard tracking KPIs including revenue trends, regional performance, and product-level profitability for business performance reporting. Developed dynamic DAX measures and visual analytics enabling decision-makers to drill down into sales data, improving reporting efficiency and insight accessibility.
Python for Data Science
ORACLE
June 1, 2026 – Present
SQL for Data Analytics
COURSERA
June 1, 2026 – Present
Machine Learning
UDEMY
June 1, 2026 – Present
Power BI for Data Analysts
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science techniques across different domains (electricity price forecasting, customer churn, sales analysis). The pursuit of multiple certifications in relevant areas (SQL, Python, ML, Power BI) indicates a strong drive for continuous learning and skill development. The target role of 'Data Analyst' aligns well with the demonstrated skills and project experience, suggesting a good cultural fit for a data-centric organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into stakeholder-ready reports, suggesting good communication and business understanding. The focus on data-driven decision-making aligns well with an analytical role. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.