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Data Analyst with less than a year in Python, SQL, Excel, and Power BI
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, feature engineering, exploratory data analysis, and building interactive dashboards that surface actionable business insights. Proven ability to transform raw datasets into clear, structured visualizations supporting data-driven decisions. Familiar with Machine Learning concepts and predictive analytics. Strong analytical thinker with a collaborative approach and excellent time management.
University of Calicut
B.Sc. · Computer Science
August 1, 2022 – June 30, 2025
Techolas Technologies
Data Analyst Intern
August 1, 2025 – Present
Kozhikode, Kerala, India
Blinkit Sales Analysis Dashboard
June 1, 2026 – Present
• Analyzed sales and customer data across outlet types and product categories - identifying trends, patterns, and performance anomalies. • Developed KPI dashboards tracking Total Sales, Average Sales, Item Count, and Customer Ratings to support strategic business decisions. • Built interactive filters and drill-through reports for category-wise and outlet-wise performance analysis for non-technical stakeholders. • Cleaned and transformed raw datasets using Power Query to ensure data accuracy and improve reporting consistency.
View ProjectEcommerce Sales Analysis Dashboard
June 1, 2026 – Present
• Designed an interactive Excel dashboard tracking revenue, orders, quantity, delivery time, and ratings with slicer-based filtering across product and region dimensions. • Cleaned and standardised a raw ecommerce dataset (missing values, inconsistent fields) into an analysis-ready table ensuring data integrity for all downstream reporting. • Produced graphical outputs (bar charts, line charts, scatter plots) summarising top-performing products and underperforming delivery regions - directly actionable for business decisions.
Customer Churn Prediction
June 1, 2026 – Present
• Built a customer churn prediction model on 7,000+ telecom customer records using Python, Scikit-learn, XGBoost, and multiple machine learning algorithms; achieved 79% accuracy, with Random Forest selected as the best-performing model. • Conducted exploratory data analysis (EDA) to identify key churn drivers, including contract type, tenure, monthly charges, and internet service, revealing significantly higher churn risk among month-to-month customers. • Developed and deployed an interactive Streamlit application for real-time churn prediction, risk classification, and probability visualization, enabling business users to support customer retention decisions.
Electric Vehicle Data Analysis Dashboard
June 1, 2026 – Present
• Analysed 149K+ EV records to surface adoption trends, geographic distribution, and BEV vs. PHEV split using time-series charts, maps, and category breakdowns. • Presented findings through 4 calculated KPIs and dynamic filters enabling granular slicing by model year, vehicle type, and manufacturer for non-technical stakeholders.
Data Analyst Internship – Techolas Techonology
Techolas Technology
June 1, 2026 – Present
SQL For Data Analysis
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, EV, telecom) and the mention of cross-functional collaboration in their internship suggest a good cultural fit for roles requiring teamwork and exposure to various business problems. The focus on creating actionable insights and supporting business decisions aligns well with a results-oriented culture. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a collaborative approach and good time management, as stated in the professional summary. Project descriptions indicate an ability to present findings to non-technical stakeholders, suggesting good communication and presentation skills. The diversity of projects also points to adaptability and a problem-solving mindset.