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Data Analyst with less than a year in Data Science and Business Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data analyst and Business Analyst with a strong academic background in Data Science and Business Analytics. Proficient in Python, SQL, and Machine Learning with hands-on experience in data preprocessing, feature engineering, predictive modeling, and data visualization. Skilled at translating complex datasets into actionable insights to support data-driven decision-making. Highly motivated fresher eager to contribute to analytics-driven teams and real-world business solutions.
VELS University, Chennai
MSc · Data Science & Business Analytics
August 1, 2023 – June 30, 2025
St. Thomas College of Arts & Science
BCA · Computer Applications
August 1, 2020 – June 30, 2023
Frigate shipping lines
LOGISTICS AND CUSTOMER SERVICE
April 1, 2025 – April 14, 2025
Chennai, Tamil Nadu, India
TRAFFIC FLOW PREDICTION
June 28, 2026 – Present
Built a predictive analytics model to estimate traffic flow patterns using historical data. Implemented preprocessing, feature engineering, and machine learning models. Generated insights to assist urban planning and traffic management. Presented insights through visual dashboards for urban planning decisions. Identified peak traffic patterns and congestion prone zones. Analyzed traffic volume data across time periods and locations
CRIME RATE PREDICTION
June 28, 2026 – Present
Developed a predictive model to forecast crime rates using historical and socio-economic datasets. Applied data preprocessing, feature engineering, Linear Regression and Random Forest models. Evaluated performance and visualized insights to support law enforcement decision-making. Analyzed historical crime data to identify patterns and trends. Built predictive model to forecast crime rate based on location/ time factors.
Value Added Course on UX/UI Design and Development
Unknown
February 5, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in applying data science to real-world problems (crime rates, traffic flow), indicating a problem-solving and impact-driven mindset. The stated soft skills suggest a willingness to collaborate and manage projects. The internship, while short and not directly data-related, shows an initiative to gain industry exposure. The overall profile suggests a motivated individual eager to learn and contribute, which aligns well with a growth-oriented team culture.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Communication, Leadership, Team Handling, Time Management, Problem Solving, Decision Making, Analytical Thinking, and Project Management. These are valuable for a Data Analyst role, especially in collaborating with stakeholders and managing analytical projects. However, without direct work experience demonstrating these, their practical application remains to be validated.