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Data Analyst with less than a year in Python, SQL & 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
Detail-oriented Data Analyst skilled in Python, SQL, Tableau, and Power BI, with hands-on internship experience in analytics, machine learning, and dashboarding. Experienced in data cleaning, EDA, visualization, and generating actionable business insights. Built projects in retail analytics and churn prediction, demonstrating the ability to translate data into strategic decisions.
Bharat Institute of Engineering & Technology (BIET)
B.Tech · CSE
August 1, 2021 – June 30, 2025
Sree Chaitanya Techno School
Class X
June 1, 2019 – May 31, 2019
Sree Chaitanya Junior Kalashala
Class XII
June 1, 2019 – May 31, 2021
Cognifyz Technologies
Data Analyst Intern
May 1, 2025 – June 1, 2025
India
Customer Churn Analysis
September 1, 2025 – October 1, 2025
Analyzed 7,000+ customer records to understand churn drivers. Explored correlations between tenure, contract type, charges, and churn rate (~26%). Created 15+ visualizations and identified 3 high-risk customer segments, helping reduce churn by 10-12%.
Retail Sales Performance Dashboard
August 1, 2025 – September 1, 2025
Cleaned and analyzed 50,000+ retail transactions using SQL & Python. Built an interactive Tableau dashboard showing monthly trends, top 10 products, and regional sales patterns. Identified 15% inventory improvement opportunities and highlighted top 3 regions for marketing focus.
Full Stack Data Science & GenAl
Naresh IT
January 1, 2025 – Present
Deloitte Data Analytics Job Simulation
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (retail, customer churn, restaurant analytics). This diversity, coupled with certifications, indicates a strong drive and alignment with a data-driven culture. However, the experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists 'Communication, Problem Solving, Team Collaboration' as soft skills. Project descriptions show an ability to translate data into insights, which implies problem-solving. The internship and project work suggest an operational fit for roles requiring data manipulation and visualization.