Data with less than a year in Machine Learning & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst Intern with 9 months of experience applying machine learning, NLP, and data analysis techniques to solve business problems. Proficient in Python, SQL, and R for data preprocessing, model training, and statistical analysis. Experienced in building and maintaining dashboards using Tableau and Power BI to identify trends and actionable insights. Strong problem-solving skills and a collaborative team player.
Vindhya Institute of Technology and Science
Bachelor of Technology
June 1, 2022 – June 1, 2026
Surepass Technologies
DATA ANALYST
March 1, 2026 – Present
India
Infosys Springboard
DATA ANALYST INTERN
November 1, 2025 – January 31, 2026
India
Otaku Threads
DATA ANALYST INTERN
June 1, 2025 – July 31, 2025
India
Customer Sales Analysis
July 1, 2025 – August 31, 2025
Designed and executed 10+ complex SQL queries to extract customer sales data, providing actionable insights that improved customer retention rate by 15% and identified key areas for sales process improvement. Transformed and filtered data by using aggregating and filtering functions to improve reporting process. Built and maintained five interactive Tableau dashboards to track key sales performance indicators, leading to enhanced data-driven decision-making among the sales leadership team. Visualized extracted data using Tableau, identifying key trends in customer purchase behavior, which informed targeted sales strategies and contributed to a 15% boost in conversion rates.
Credit Card Fraud Detection
February 1, 2025 – March 31, 2025
Developed and fine-tuned a logistic regression-based machine learning model achieving an 87% accuracy rate in prediction. Minimized false positives by 16% through rigorous feature engineering and hyperparameter tuning processes. Implemented under-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance. Successfully mitigated fraudulent transactions while optimizing model efficiency by 23% and accuracy by 6%.
Electric Vehicle Analysis
March 1, 2024 – April 30, 2024
Performed ETL using SQL queries and conducted data cleaning & text analysis. Built Tableau dashboards to identify sales trends, improving business insights. Loaded and visualized data with Tableau to identify key business intelligence that can improve sales performance.
Database Management System (NPTEL)
NPTEL
September 1, 2025 – Present
Data Fundamentals (IBM)
IBM
December 1, 2024 – Present
Programming in Python (CRISP)
CRISP
September 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in data analysis and machine learning, aligning well with a 'Data' target role. The diversity of projects (Electric Vehicle Analysis, Credit Card Fraud Detection, Customer Sales Analysis) shows a breadth of application areas. However, the experience level is 0, indicating a very junior profile, which might not be a direct fit for senior-level expectations without significant mentorship and growth opportunities. The current education timeline (2022-2026) suggests the candidate is still pursuing their Bachelor's degree, which needs clarification regarding their availability for full-time roles.
Soft Skills & Operational Fit
The candidate's resume highlights 'Effective communicator, Collaborative team player, Problem-solving mindset' as soft skills. The project descriptions indicate an ability to work on structured problems and deliver quantifiable results, which aligns with operational fit for data analysis roles. However, without direct assessment data for these soft skills, this remains an assumption based on self-reported information.