Data Analyst 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
Final-year B.E. Information Technology student with experience in data analysis, machine learning, and business intelligence. Skilled in Python, SQL, Pandas, NumPy, Power BI, and statistical analysis for transforming raw data into actionable insights. Experienced in dashboard development, predictive modeling, exploratory data analysis, and ETL concepts. Seeking Data Analyst, Business Analyst, Analytics Associate, or Junior Data Scientist opportunities.
KC College of Engineering, Mumbai University
B.E. · Information Technology
August 1, 2022 – June 30, 2026
Palo Alto Networks & Fortinet (AICTE-EduSkills)
Cybersecurity & Network Security Virtual Intern
July 1, 2024 – December 1, 2024
India
AWS Academy (AICTE-EduSkills)
Data Engineering Virtual Intern
September 1, 2023 – November 1, 2023
India
Robo Kart Ltd
R&D Trainer
January 1, 2023 – January 1, 2024
Mumbai, Maharashtra, India
Blinkit Sales Analytics Dashboard
January 1, 2026 – Present
Built an interactive dashboard tracking 10+ KPIs including revenue, profit, order trends, and customer retention. Automated reporting workflows and enabled faster business decisions through dynamic filtering and drill-down analytics.
Netflix Data Analysis
January 1, 2025 – Present
Analyzed 8,000+ Netflix titles to identify content trends, genre distribution, and regional growth patterns. Performed data cleaning, exploratory analysis, and visualization to generate actionable insights.
View ProjectCustomer Churn Prediction
January 1, 2025 – Present
Built a machine learning pipeline using preprocessing, feature engineering, and classification algorithms. Evaluated model performance using accuracy, precision, recall, and F1-score metrics.
ETL Data Pipeline
January 1, 2024 – Present
Designed ETL workflows to extract, transform, and load structured datasets from multiple data sources. Automated data preparation and validation processes to improve consistency across analytical datasets.
Machine Learning with Python
Infosys Springboard
January 1, 2024 – Present
AI & Python Fundamentals
Cisco / AICTE
January 1, 2024 – Present
Introduction to DevOps
Great Learning Academy
January 1, 2024 – Present
Data Engineering on AWS
AWS Academy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects cover a good range of data analysis applications (sales, content trends, churn prediction), showing diverse interests. The virtual internships, particularly in Data Engineering and Cybersecurity, indicate a willingness to explore different technical domains and continuously learn. The R&D Trainer role suggests a collaborative and teaching-oriented mindset. However, all projects are academic, and internships are virtual/training-focused, which limits the assessment of cultural fit in a fast-paced, collaborative corporate environment.
Soft Skills & Operational Fit
The candidate's experience as an R&D Trainer suggests good communication and problem-solving skills, which are valuable for explaining complex data insights. The virtual internships indicate an ability to learn independently and adapt to new technologies. However, the lack of real-world, non-academic project experience limits the assessment of operational fit in a professional data analyst role.