About

Kanika Sahni is a highly skilled and result-oriented Data Analysis and Simulation Professional with over 8 years of experience in the field of Data Science. Currently employed at Siemens Energy (R&D), she is a team player with strong quantitative and analytical abilities, delivering value through actionable insights across business functions with the help of Data Science. Kanika has gained knowledge on business processes, agile methodologies, and expertise in machine learning and data visualization. She has a strong Statistical Learning Expertise in Descriptive, Inferential, and Prescriptive Statistics and Exploratory Data Analysis. Kanika has also worked on Machine Learning projects such as Regression Models - Simple, Multiple and Logistic Regression, Classification Problems using KNN, Decision Trees, Naive Bayes and Support Vector Machines Models, and Unsupervised Learning such as Principal Component Analysis, Factor Analysis, K-means & Hierarchical Clustering on real-world business problems. She has also worked on Associate Rule Mining such as Market Basket Analysis and Model Building using R & Python. Kanika is proficient in Visualization/BI tools such as PowerBI, Tableau, and plotly. She has experience working with NoSQL Databases like MongoDB. Her past work experience includes working as a BI programmer at Maersk and a Data Analyst at IL&FS. At IL&FS, she was responsible for gathering and interpreting data to help partner companies make better business decisions and optimize business processes. She also developed Tableau Reports / Dashboard with Data residing in from multiple Databases like mysql, Sql Server, MongoDb, Oracle, Hadoop, Google Sheet, etc. Kanika holds a Big data and Analytics Program degree from S P Jain School of Global Management and a Bachelor of Technology (B.Tech.) degree in Computer Science from GGSIPU. She has also completed her schooling from Bal Bharti Public School and D.A.V Dayanand Vihar. Her TechStack includes ML, Naive Bayes, MongoDB, Python, Data Scientist, NoSQL, SQL, Research Scientist, MySQL, and Hadoop. With her relevant experience of 8.03 years, Kanika is a valuable asset to any organization looking for a skilled Data Analysis and Simulation Professional.