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Data Analyst with 1+ years in Data Analytics & 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
Data analyst trained in data analytics and data science with hands-on experience in Python (pandas, NumPy), SQL, Tableau and Advanced Excel (Power Query, VBA). Skilled in data cleaning, exploratory data analysis, visualization and turning analytical findings into clear reports and presentations. Completed a postgraduate training program with multiple end-to-end projects in forecasting, EDA and reporting automation.
Karavali Institute of Technology
Bachelor of Engineering (B.E.) · Computer Science and Engineering
N/A – January 1, 2022
Skill Lync Pvt. Ltd.
Trainee / Project Intern
April 1, 2022 – March 31, 2023
India
Cognitive Solutions
Student Intern
September 1, 2021 – October 31, 2021
India
Stock Mate - Stock prediction model
June 18, 2026 – Present
Implemented and compared multiple forecasting approaches (LSTM, ARIMA, linear regression); performed data preprocessing and feature engineering. Visualized predictions and residuals to evaluate model behavior and support model selection; documented findings and recommendations.
EDA - Vehicle insurance customer data
June 18, 2026 – Present
Performed exploratory data analysis to profile customer segments and identify trends in policy purchases and claims. Created charts and dashboards to highlight distributions, correlations and actionable insights for stakeholders.
Data Analysis and Visualization with Tableau
Unknown
May 26, 2023 – Present
SQL for Data Science
Unknown
September 14, 2022 – Present
Core and Advanced Python Programming
Unknown
August 23, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a clear interest and foundational experience in data analysis and machine learning, aligning well with a Data Analyst role. The diversity of projects (stock prediction, customer data EDA, machine learning applications) indicates a broad exposure to different analytical challenges. The structured training and certifications suggest a proactive approach to skill development. However, the experience is primarily academic and internship-based, which might require additional mentorship for integration into a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to document findings and present reports, suggesting a foundational level of communication and operational fit. The academic and internship experiences show a structured approach to learning and project execution. However, without specific assessment data on soft skills, a deeper evaluation of collaboration, problem-solving under pressure, and independent initiative is not possible.