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Data Analyst with less than a year in Python, MySQL, Power BI and Excel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hands-on in Python, MySQL, Power BI and Excel. Proficient in data cleaning, data modeling, ETL, KPI tracking and interactive dashboard development. Developed end-to-end analytics projects in Retail, Reduced churn customers of 26% in Telecom Churn Analysis and E-commerce domains using real-world large datasets from kaggle.
SSM Institute of Engineering and Technology
B.E. Computer Science & Engineering · Computer Science & Engineering
June 1, 2015 – April 1, 2019
Veveham Higher Secondary School
HSC (Class XII)
June 1, 2014 – April 1, 2015
S.M.B.M Matriculation School
SSLC (Class X)
June 1, 2012 – April 1, 2013
Olist E-Commerce Sales Analysis
January 1, 2023 – June 1, 2024
Analyzed 1M+ row dataset using MySQL, Python (Pandas, NumPy, Matplotlib), and Power BI across product categories, customer cities, and payment behavior. Designed star schema connecting 9 tables (one-to-many, many-to-many) in Power BI. Built DAX measures for Total Sales, Orders, Sellers, and Order-per-Customer KPIs.
View ProjectSuperstore Sales Analysis
July 1, 2021 – December 1, 2022
Built an end-to-end Power BI dashboard analyzing 632K+ sales records with KPI cards, trend lines, and regional performance breakdowns. Performed category, segment, and time-series analysis to identify revenue drivers. Surfaced top-performing sub-categories and underperforming regions for strategic focus.
View ProjectTelecom Sales & Customer Churn Analysis
January 1, 2020 – June 1, 2021
Built predictive churn models using XGBoost, Random Forest, and Logistic Regression; XGBoost achieved highest accuracy in identifying top churn drivers (contract type, tenure, monthly charges). Conducted end-to-end analytics workflow: data cleaning in Python (Pandas, NumPy), statistical analysis (SciPy), and model comparison resulting in actionable churn reduction strategies. Designed interactive Power BI dashboard with MySQL backend covering revenue KPIs, churn segmentation, and drill-down filters for business stakeholders.
View ProjectMicrosoft PL-300 Power BI Certificate
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation (Tableau)
Deloitte via Forage
April 1, 2026 – Present
Data Science Job Simulation
Lloyds Banking Group via Forage
April 1, 2026 – Present
Data Analytics Certification
ACTE Technologies
December 1, 2025 – March 1, 2026
AWS Cloud Practitioner (CLF-C02)
Amazon Web Services
March 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data analytics through multiple personal projects and relevant certifications. The projects cover diverse domains (telecom, retail, e-commerce), indicating adaptability and a broad learning curve. The pursuit of certifications, including job simulations, suggests a proactive and self-driven individual, which aligns well with a culture of continuous improvement and initiative. However, the lack of professional experience means cultural fit in a corporate setting, especially regarding collaboration and stakeholder management, is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to translate business problems (e.g., churn reduction, sales performance) into analytical solutions and present findings to stakeholders. The focus on end-to-end workflows suggests good problem-solving and project management skills. However, without direct work experience, the operational fit in a team environment and handling real-world project complexities is yet to be validated.