About

Charchit Bakliwal is a highly skilled and motivated Data Scientist with almost three years of experience in analytics. He has a strong background in data structures, data science, and data engineering skills, and is well-versed in tools like R, Python, Spark, SQL, Tableau, and more. Charchit is passionate about Machine Learning and has a keen attitude to learn new technologies and use them to create data-oriented products from development to production. Charchit has a wide range of subject skills, including multiple linear, logistic, ridge, lasso, spline regression analysis, several Machine Learning algorithms like Random Forest, Bagging, Boosting, SVM, and more. He is proficient in statistical analysis, predictive modeling, data wrangling, and productionizing. He also has expertise in econometric analysis, machine learning algorithms, multivariate techniques, and parametric and non-parametric tests. Currently, Charchit is working as a Senior Product Analyst at Dunzo, where he is responsible for improving products and services using advanced analytics. In the past, he has worked as an Analyst 2 at MIQ, where he was part of the business analytics team, assessing the impact of campaigns and providing recommendations for digital spend optimization. He has also worked as a Data Scientist Beginner at Big Data Bizviz, where he was the core designer and ML engineer of a fully automated platform capable of end-to-end analytics. Charchit has a Bachelor's degree in Computer Science from Lovely Professional University, and he has completed his Senior Secondary Certification and Higher Secondary Certification from Maheshwari International School. Charchit's tech stack includes ML, Data Scientist, Python, SQL, SVM, Random Forest, NLP, Research Scientist, Data Engineering, Spark, designer, XGBoost, Deep Learning, Big Data, and test. With 3.45 years of relevant experience, Charchit is a highly skilled and motivated Data Scientist with a passion for Machine Learning and a keen attitude to learn new technologies.