About

Harshit Makkar is a highly skilled Data Analyst with over 4 years of experience in generating business insights from structured and unstructured data. He has a proven track record of helping organizations discover crucial metrics and take sound data-backed decisions. Harshit is dedicated to maximizing the impact of key performance metrics to bolster business growth and is known for leveraging both macro and micro-scale analyses to generate holistic visualizations of ongoing business operations for immediate actionability. Harshit has a rich experience of working at both startups and an MNC, making him well adept at the different soft and hard skills which both these kinds of organization demand. His work involves drawing insights that help the organization in generating useful KPIs, monitoring them real-time, carrying out new pilot projects with a full view of the operational parameters, and having a full view of the health of the organization - revenue, CAC, sales, etc. He is skilled in unearthing new and useful patterns related to consumer behavior, logistical cost, etc. Harshit has a post-graduation degree in Machine Learning & AI from IIIT-B and independent coursework in the field of Data Science. He is highly proficient in SQL, Python, Pandas, Numpy, Sklearn, Vectorized Computations, List Comprehension, PowerBI, Tableau, Google Studio, Regression and Classification Algorithms, Boosting and Bagging Algorithms, Dimensionality Reduction, Gradient Descent, Unsupervised Clustering, and Natural Language Processing. He has practical as well as theoretical understanding of the algorithms and the concepts. Currently working as a Junior Manager at Paytm, Harshit has achieved significant milestones in his career. He devised a model that could predict PG cost with an accuracy of 98.6% and validated the declining battery efficiency of Soundbox, leading to a substantial improvement in Paytm's user experience. In his previous role as a Senior Data Analyst at Denave, he automated the data processing pipeline using Python, leading to a 50% reduction in processing time and highly improved data quality. At Stanza Living, he spearheaded the Customer Retention Module single-handedly, achieving 80% customer retention, and identified and resolved leakage of revenue from cash collections worth ~ 90 Lakhs. Harshit holds a Bachelor of Technology degree in Electrical, Electronics and Communications Engineering from DTU and a Post Graduation Diploma in Machine Learning & AI from IIIT Bangalore. He possesses a diverse range of technical skills, including Python, Neural Networks, MySQL