VIKAS H

Detail-oriented and analytical professional with experience in program management, operations, and data-driven problem-solving. Skilled at identifying bottlenecks, streamlining workflows, and building scalable processes to improve efficiency and outcomes. Proficient in tools such as Power BI, Looker Studio, MySQL, and Excel, with a strong foundation in leveraging data insights to support decision-making and drive impact. Adept at stakeholder management, cross-functional collaboration, and process optimisations, with a track record of delivering solutions that enhance academic and organizational performance.

• Time Management
• Honesty
• Decision-Making
• Adaptability
• Conflict Resolution
• leadership
• Teamwork
• Confidence
• Adaptability

• Premiership in Business Management-(ICTRD.Org (2023))
• Behavioral Finance-NSE-(NSE Academy (2023))
• Data Visualization with R-(Cognitive class. ai (2024))
• Data Analysis with Python-(Cognitive class. ai (2024))
• Information Technology Training-(ICAI (2020))
• Certified Program in General Management-(CPGM) (Jain University (2020))
• Mind management program-(Jain University (2020))
• Nano degree program on investment baking- (Jobaaj Learnings (2024)).

• A Comparative Analysis of ETFs Related to Sustainability in India and Across the World.
• An exploratory study on ' BUY NOW PAY LATER ' among Indians using SPSS and Google Collab.
• An exploratory study on the perception of Indian consumers towards " Eco-Friendly Clothing & Accessories " using Microsoft Excel & JMP.
• An exploratory study on Investors' Behavior Towards Mining Industry using SPSS and Google Collab.
• A study on the Recommender System of Supermarkets using Association rules .
• A study on Building a classification model on Purchase Decisions of Customers in Supermarkets using Neural Networks.
• Virtual trading on Money Bhai Money Control provides a risk free environment to learn and practice investment techniques in real time.
• A Creation of a Dashboard on the sales report of Euro mart with the help of Power BI https://www.linkedin.com/posts/vikas-h-9a3671158_technology-management-visualization-activity-7155057791211065345-NT4V?utm_source=share&utm_medium=member_desktop
• A Creation of a Dashboard on the sales report of Euro mart with the help of Looker Studio https://www.linkedin.com/posts/vikas-h-9a3671158_innovation-management-technology-activity-7154194078488743936-PGUc?utm_source=share&utm_medium=member_desktop

• IPL Dataset: We used Lasso, Ridge, ElasticNet Regression on 130 players IPL dataset. We tried to evaluate the overall performance and value of the players and find out the most important independent variables affecting the player valuation.
• Bank Dataset: We used Logistic Regression and K-Nearest Neighbors (KNN) to predict customer response for a term deposit campaign. We handled class imbalance and further tuned the results.
• Mall Customer Dataset: We did customer segmentation using K-Means and Hierarchical Clustering on Mall Customer dataset. We used variables like gender, age, income and expenditure score to refine the targeted marketing for the customers.
• SA Heart Dataset: We used Logistic Regression, KNN and Random Forest to predict heart disease in adult males in high risk areas. We handled class imbalance and optimized the models.
• Two-days hands-on workshop on security analysis and financial derivatives using real time data.
• Workshop on prototype validation &Predictive Analytics.
• Two -days workshop on Power BI and Excel Dashboard.
• Two days National Conference on “Innovative Management Practices & Strategies for the Sustainability Development (IMPSSD – 2024).

• Organized Finance event in Vishesh 2023.
• Organized Entrepreneurship event in Vishesh 2024.
• Recognized as the best Tech Support for the award in The Dept (2022-24)
• Recognized as the best Entrepreneur in the Department
• Participated in the event EY Techathon 4.0.
• Participated in Ventura- Problem solvation and ideation Business plan.
• Participated in Prashnotree Business quiz.
• Participated in Treasure Hunt in RIT Tech Fest.