Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI, specializing in data cleaning, exploratory data analysis (EDA), statistical analysis, and data visualization. Skilled at developing predictive models and dashboards that turn raw data into clear, actionable business insights. Strong foundation in machine learning, customer analytics, and reporting, with experience spanning the full analytics lifecycle from data wrangling to presenting findings to stakeholders.
Vemana Institute of Technology
B.E. · Computer Science & Engineering
December 1, 2022 – June 1, 2026
Morarji Desai PU College
12th · PCMB
June 1, 2020 – March 1, 2022
Morarji Desai Residential School
10th
July 1, 2019 – March 1, 2020
Q Spider Institute
Python With Data Analytics Intern
February 1, 2026 – Present
Bengaluru, Karnataka, India
SuprMentr Technologies Pvt. Ltd
Full Stack Web Development Intern
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Customer Churn Analytics Dashboard
April 1, 2026 – May 1, 2026
Designed a churn prediction pipeline on the Telco Customer Churn dataset, covering data cleaning, feature engineering, and model deployment Trained a Logistic Regression model achieving 80.8% accuracy and 0.842 ROC-AUC to identify at-risk customers Engineered a three-tier risk scoring system (High / Medium / Low) and built a Streamlit dashboard with retention recommendations
Customer Segmentation using RFM Analysis
March 1, 2026 – April 1, 2026
Developed a customer segmentation system using RFM (Recency, Frequency, Monetary) analysis on 1M+ retail transactions across 43 countries Applied K-Means clustering to classify customers into 11 actionable segments for targeted marketing and CRM strategy Built a Streamlit dashboard featuring segment-level visualizations, CRM action recommendations, and automated Excel export
Cybersecurity Job Simulation
DATACOM
June 1, 2026 – Present
Gen AI Powered Data Analytics Job Simulation
TATA
June 1, 2026 – Present
Cloud Computing & Data Science for Engineering
NPTEL
June 1, 2026 – Present
Basics of Python & Cloud Computing on Microsoft Azure
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong alignment with a data-driven culture, evidenced by their focus on data analytics projects and internships. Their experience with various tools and techniques, including business intelligence and predictive modeling, suggests a versatile approach to problem-solving. The personal projects demonstrate initiative and a passion for applying data science concepts to real-world scenarios, which is a positive indicator for cultural fit in an analytical role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into actionable business insights and present them to stakeholders, suggesting good communication and problem-solving skills. The diversity of projects and internships also points to adaptability and a proactive learning attitude.