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Data Science 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
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, and Machine Learning. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, data visualization, and predictive analytics. Experienced in transforming raw data into actionable insights through projects in finance, retail, logistics, and sports analytics.
GITAM University
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
DRDO - Research Centre Imarat (RCI)
Web Developer Intern
May 1, 2025 – June 1, 2025
Hyderābād, Telangana, India
Event-Level Cricket Analytics & Win Probability System
June 1, 2026 – Present
Processed and analyzed large-scale ball-by-ball cricket datasets using Python and Pandas. Performed Exploratory Data Analysis (EDA) to identify player performance trends and match insights. Applied feature engineering techniques to develop a win probability prediction model.
Mutual Fund Hidden Fee Analyzer
June 1, 2026 – Present
Analyzed 500+ mutual fund records to evaluate the impact of expense ratios on long-term investment returns. Cleaned and transformed financial datasets using Python and Pandas. Performed comparative analysis across multiple investment horizons (10, 20, and 30 years). Developed interactive Power BI dashboards featuring KPI cards, trend analysis, and category-level insights.
Enterprise Logistics Control Tower
June 1, 2026 – Present
Analyzed logistics datasets to monitor delivery performance and transportation efficiency. Conducted data cleaning and transformation to improve reporting accuracy. Developed KPI dashboards to track shipment status, delays, and operational performance.
Retail Revenue Intelligence System
June 1, 2026 – Present
Integrated sales, GDP, and inflation datasets for comprehensive retail performance analysis. Conducted customer segmentation and churn analysis using machine learning techniques. Developed Power BI dashboards for revenue tracking, profitability analysis, and customer insights. Performed sales forecasting and predictive analytics to support strategic planning.
Java Developer Certification
INFOSYS
June 1, 2026 – Present
Columbia + Machine Learning I
Columbia
June 1, 2026 – Present
Data Analytics Essentials
CISCO Networking Academy
June 1, 2026 – Present
TATA-GenAI Powered Data Analytics Job Simulation
TATA
June 1, 2026 – Present
Accenture Nordics Software Engineering Job Simulation
Accenture
June 1, 2026 – Present
Deloitte Australia Technology Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains such as retail, finance, sports, and logistics, indicating a broad interest and adaptability. The certifications from various organizations (Columbia, Accenture, Deloitte, TATA, CISCO, INFOSYS) suggest a proactive approach to learning and professional development, which aligns with a culture of continuous improvement. The target role of 'Data Science' is well-supported by the project work, particularly in machine learning and predictive analytics, demonstrating a good fit for data-driven environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights and develop KPI-driven dashboards, suggesting a focus on practical application and business value. The internship experience also highlights structured data access and operational metric monitoring. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully made.