About

Shashank Singh is an Analytics professional with over 3 years of experience in data science and related fields. He has a result-driven approach and a knack for learning and solving problems using data. Currently, he is working as an Analytics (front office) at Credit Suisse, where he is responsible for SmartRisk - Risk Intelligence & Infrastructure (CRO IB). Shashank has a strong skill set in analytical tools and languages such as Python (NumPy, Pandas, Scikit-learn, matplotlib), SQL, Spark, Hadoop, Impala, and Tableau. He has expertise in various data science techniques such as Statistics, Probability distributions, CLT, confidence interval, p-values, hypothesis testing, Supervised (Regression, Classification, Decision Trees), Feature Engineering, Semi-supervised and Unsupervised (Clustering), A/B Testing, Hypothesis testing, OOP, ETL, Data Science Pipeline (cleaning, wrangling, visualization, modelling, interpretation). He is also proficient in using APIs, Docker, Git, and Excel. Prior to his current role, Shashank worked as a Technical Analyst 2 and Technical Analyst 1 at Credit Suisse. During his tenure, he analyzed and identified delays in delivery of trading books for front office stakeholders, developed a framework in python to verify Risk-Based Profit/Loss (RBPL) threshold breach calculation, built an automated email module from scratch, co-led the marketing & branding for the CS global coding challenge 2021, and volunteered and partnered with Social Lens in providing consultation to a budding NGO. He also worked on POC, added new attributes to the data lake, wrote test cases for accent handling in the classification algorithm, and defined test scenarios for ELAR archiving, presented them in front of the business team. Shashank completed his Bachelor of Engineering from the Army Institute of Technology, Pune, in 2020. He has a strong technical skill set that includes test, Data Scientist, SQL, Python, Spark, Scikit, Docker, Pandas, Hadoop, ETL, and infra. Overall, Shashank Singh is a highly skilled Analytics professional with expertise in data science and related fields. He is a quick learner and has a result-driven approach towards solving complex problems using data.