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Data Analyst with 8+ years in Data Science & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Data Scientist with 7 months of Data Science training and hands-on experience in Python, SQL, data analysis, and visualization. Strong business and financial understanding from prior credit operations experience, eager to apply data-driven insights in real-world projects.
Unknown
PGDCA
August 1, 2013 – June 30, 2014
Unknown
Bachelor of Science · Physics
August 1, 2009 – June 30, 2012
International Group of Aamina (IGA)
Data Science Analyst Intern
May 1, 2026 – Present
India
HDB Financial Services Ltd
Sales Coordinator
August 1, 2018 – February 1, 2024
Cochin, Kerala, India
TVS Credit Services Ltd
Associate Credit
January 1, 2015 – July 1, 2016
Cochin, Kerala, India
Exploratory Data Analysis (EDA): Tata Motors Stock Journey - 30 Years of Market Insights
June 1, 2026 – Present
• Analyzed 30 years of historical stock price data using Python, Pandas, and NumPy • Performed data cleaning, trend analysis, and statistical summaries • Visualized price movements and trends using Matplotlib and Seaborn • Derived insights on growth phases, volatility, and long-term market behavior
Loan Approval Prediction – Machine Learning Project
June 1, 2026 – Present
• Cleaned and preprocessed loan applicant data using Python and Pandas • Performed EDA to identify key factors influencing loan approval • Built and evaluated ML models using Scikit-learn • Assessed model performance using accuracy score and confusion matrix
COVID-19 Global Analysis Dashboard | Power BI
June 1, 2026 – Present
• Built an end-to-end interactive dashboard to monitor global pandemic trends and country-level insights • Designed and implemented KPIs including total confirmed cases, deaths, recovery rate, and death rate • Developed dynamic country drillthrough pages for in-depth analysis using DAX • Created time-series and geographical visualizations to identify trends and hotspots • Performed regional and top vs least affected country analysis to derive actionable insights • Enhanced user experience with slicers, filters, and intuitive dashboard design
Workforce Diversity Dashboard | Power BI
June 1, 2026 – Present
• Developed an interactive dashboard to analyze workforce diversity across gender, nationality, seniority, and performance. • Created KPIs like Total Employees, Female Ratio, Leadership %, and High Performers using DAX. • Built visualizations for country-wise, department-wise, and seniority-based analysis. • Identified key insights such as low female representation in leadership and regional diversity gaps. • Implemented interactive slicers, filters, and bookmarks for enhanced user experience.
RapidEats Delivery Analytics Dashboard | Power BI
June 1, 2026 – Present
• Developed an end-to-end delivery analytics dashboard analyzing orders, time metrics, vendor performance, and customer behavior. • Built KPIs such as Total Orders (12K+), Revenue (459K), Avg Order Value, and Perfect Order Rate using DAX. • Identified key insights like delivery delays as a major bottleneck and high dependency on top vendors/customers. • Created interactive visuals for order trends, peak hours, vendor contribution, and payment behavior analysis. • Provided actionable recommendations to optimize delivery time, improve vendor balance, and increase customer retention.
Professional Diploma in Next Gen AI & Data Science Mastery
Unknown
June 1, 2026 – Present
NCC C Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains (finance, public health, HR, logistics), indicating adaptability and a broad interest in applying data analysis across different industries. The internship as a 'Data Science Analyst Intern' aligns well with the target role, demonstrating a proactive approach to gaining relevant experience. The blend of technical skills (Python, Power BI) and business understanding from previous roles suggests a good fit for roles requiring both analytical depth and practical application.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify key insights and provide actionable recommendations, suggesting strong analytical thinking and problem-solving skills. The focus on interactive dashboards and user experience implies an understanding of stakeholder needs. The prior roles in sales and credit suggest experience in structured environments and attention to detail, which are beneficial for data accuracy and reporting.