Data Science with 1+ years in Data Analysis & Machine Learning.
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Results-oriented Data Analyst with over 1.5 years of internship experience leveraging SQL, Python, and R to drive business decisions and improve operational efficiency. Delivered data-driven insights that increased process efficiency by 30% and contributed to revenue growth strategies. Proficient in Power BI, Tableau, and Excel, with a proven track record of building predictive models that improved forecast accuracy by 20%. Adept at cleaning, analyzing, and visualizing large datasets to identify trends and actionable insights, reducing operational costs by 15%.
K.K. Wagh College (SPPU University)
M.Sc. · Computer Science
August 1, 2020 – June 30, 2022
K.A.A.N.M.S. College (SPPU University)
B.Sc. · Computer Science
August 1, 2017 – June 30, 2020
AI Variant
Data Analyst Intern
January 1, 2024 – July 1, 2024
India
Datavision ITC
Web Application Developer
December 1, 2021 – June 1, 2022
Nashik, Maharashtra, India
High Cloud Airlines Analysis
January 1, 2024 – January 1, 2024
Conducted KPI analysis and visualized data using Power BI, Tableau, and Excel, improving operational efficiency by 30%. Optimized flight schedules based on weekend vs. weekday travel trends, increasing resource utilization by 20%. Enhanced route efficiency and customer satisfaction through load factor analysis, leading to a 10% rise in revenue.
Book Recommendation System
January 1, 2024 – January 1, 2024
Built a recommendation system using content-based and collaborative filtering, increasing user engagement metrics by 18%. Evaluated and improved system accuracy by 15% using advanced statistical methods. Documented workflows for reproducibility, enabling faster development cycles in future iterations.
Bankruptcy Prediction
January 1, 2024 – January 1, 2024
Developed and evaluated multiple machine learning models to predict bankruptcy. The Support Vector Machine model with an RBF kernel achieved the highest accuracy of 96.63%. Compared performance metrics across models to ensure optimal accuracy and robustness.
Zomato Analysis
January 1, 2024 – January 1, 2024
Analyzed Zomato restaurant data using advanced Excel functions and SQL queries to uncover actionable insights. Designed interactive dashboards in Power BI and Tableau, presenting trends in restaurant locations, opening trends, ratings, and price ranges. Delivered insights that helped identify critical factors driving customer preferences in the restaurant industry.
Data Analyst Certification
ExcelR
January 1, 2024 – Present
Data Science Certification
ExcelR
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from airline analysis to recommendation systems and bankruptcy prediction, shows a broad interest in applying data science across different domains. Their educational background in Computer Science and certifications in Data Analysis and Data Science align well with a Data Science role. The previous experience as a Web Application Developer, while not directly data science, indicates adaptability and a foundational understanding of software development, which can be beneficial in a data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and internship experience. Their ability to collaborate in cross-functional teams and apply Agile methodologies suggests good operational fit and teamwork capabilities. The focus on quantifiable results in project descriptions indicates a results-oriented mindset.