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Data Science with less than a year in Data Analysis, Machine Learning, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and results-driven Data Science Trainee with a strong foundation in Python, SQL, and various data analysis and machine learning libraries. Possessing hands-on experience in data preprocessing, exploratory data analysis, and developing predictive models. Proven ability to translate complex data into actionable insights, as demonstrated through diverse projects in predictive maintenance, marketing analytics, and customer churn analysis. Eager to apply analytical and technical skills to drive data-driven decision-making and innovation.
Sandip Institute of Technology and Research Centre (SITRC)
Bachelor of Engineering · Automation & Robotics
August 1, 2022 – Present
Mudra Institute of Design and Technology
Data Science Trainee Python & Machine Learning
October 1, 2025 – Present
Nashik, Maharashtra, India
The Goodyear Tire & Rubber Company
Automation & Efficiency Intern
June 1, 2025 – July 31, 2025
Aurangabad, Maharashtra, India
VNIT Nagpur
Summer Intern
June 1, 2024 – July 31, 2024
Nagpur, Maharashtra, India
Predictive Maintenance using Machine Learning
June 28, 2026 – Present
Developed predictive maintenance model using equipment sensor data to detect potential machine failures. Performed data cleaning, feature engineering, and exploratory analysis on industrial datasets. Built classification models to identify failure risk patterns and improve preventive maintenance planning. Tech: Python, Pandas, NumPy, Scikit-learn.
View ProjectYouTube Growth Analytics
June 28, 2026 – Present
Analyzed 600 YouTube videos to evaluate the relationship between engagement metrics and view performance. Identified heavy right skew (skewness 8.0) and applied log transformation, improving regression performance from R2 = 0.55 to 0.84. Conducted correlation analysis and engineered engagement rate feature to derive business insights. Tech: Python, Pandas, Matplotlib, Seaborn, Scikit-learn.
View ProjectCustomer Churn Analysis
June 28, 2026 – Present
Performed exploratory data analysis on telecom customer dataset to identify churn patterns and high-risk customer segments. Conducted feature encoding, correlation analysis, and built predictive classification models. Derived data-driven retention insights. Tech: Python, Pandas, Scikit-learn.
Additional Data Analysis Case Studies
June 28, 2026 – Present
Completed multiple real-world case studies including Flipkart Mobile Pricing Analysis, Instagram Engagement Analytics, Electricity Bill Prediction, and Courier Delivery Time Prediction. Applied EDA, feature engineering, regression modeling, residual diagnostics, and business interpretation across datasets.
The candidate scored 0% on the 'Data Scientist — Artificial Intelligence' test, indicating a complete lack of demonstrated proficiency in the assessed skills.
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science concepts across various domains (industrial, social media, telecom). The 'Automation & Robotics' background, combined with data science internships and projects, indicates a diverse skill set and an ability to adapt to different technical environments. The personal projects suggest self-motivation and an interest in practical problem-solving, which are positive indicators for cultural fit in a dynamic data science team. However, the lack of advanced technical skills demonstrated in the assessment might pose a challenge for a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Leadership, Writing, Public Speaking, Time Management' as soft skills. While these are valuable, there is no assessment data to validate their proficiency. The project descriptions indicate an ability to work on structured data analysis tasks and derive insights, which aligns with operational requirements for a Data Science role. The internship at Goodyear suggests an analytical approach to identifying inefficiencies and proposing data-driven improvements.