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Data Science with less than a year in SQL & 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
Engineering graduate with strong analytical and problem-solving skills, experienced in working with large datasets using SQL, Python, and Power BI. Proven ability to build data pipelines, perform data transformation and validation, and deliver actionable insights to support business decision-making. Skilled in identifying trends and patterns in complex datasets and collaborating with stakeholders to deliver scalable, data-driven solutions. Detail-oriented with a strong focus on accuracy, automation, and business value delivery.
Mumbai University
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
A.E.S. Sheth K.V.P Anand Junior College
Higher Secondary
June 1, 2021 – May 31, 2022
E-commerce Revenue & Profitability Dashboard
June 25, 2026 – Present
Built and optimized data pipelines to collect, clean, transform, and validate 75K+ records, ensuring high data accuracy and reliability. Performed trend and pattern analysis to identify revenue gaps, seasonal demand, and profitability issues. Identified key business insights: Spring season contributed 34% of total orders, Online channels generated 18% higher revenue but had 12% higher return rates. Delivered actionable recommendations to improve sales strategy and reduce return rates. Enabled data-driven decision-making by translating complex datasets into clear business insights.
Telecom Churn Prediction & Retention Insights
June 25, 2026 – Present
Developed structured datasets by performing data transformation and validation on raw telecom data (7K+ records). Built a machine learning model (Random Forest) achieving 80%+ accuracy for churn prediction. Conducted pattern recognition and trend analysis to identify high-risk customer segments. Created interactive dashboards to monitor churn trends, revenue impact, and customer behavior. Provided business-focused insights to support retention strategies and reduce customer churn. Simulated stakeholder-driven problem solving by aligning technical solutions with business objectives.
Power BI Essentials
I.T Vedant
January 1, 2025 – Present
SQL Mastery
I.T. Vedant
January 1, 2025 – Present
SQL (Intermediate)
Hacker-Rank
January 1, 2025 – Present
Python (Basic)
Hacker-Rank
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a practical, business-oriented approach to data science, aligning well with roles that require direct impact on business outcomes. The diversity of projects (telecom churn, e-commerce revenue) indicates adaptability and a broad interest in applying data science across different domains. The emphasis on stakeholder communication and delivering actionable insights suggests a collaborative mindset. However, the lack of professional experience means their ability to integrate into a corporate culture and navigate complex team dynamics is yet to be proven.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and a focus on delivering business value. Their project descriptions highlight an ability to translate complex datasets into actionable recommendations and collaborate to achieve business objectives. The candidate also emphasizes prioritization and time management, which are crucial for operational efficiency.