Abdul Malik Shariff

About Abdul Malik Shariff

14+ years of experience in the field of Artificial intelligence, Machine learning, Deep learning and Gen AI, with strong programming skills in (Python, SAS & R), Proven participation in various domains such as Ecommerce, Retail and BFSI and geographies such as APAC and US, Highly Skilled professional acquaintance in risk analytics, campaign analytics and retail analytics. Predominantly worked on model developments, implementations and deployments.Exploratory data analysis, Feature engineering, Customer segmentation, churn modeling,Propensity modeling, Response modeling, Cross-sell/Upsell modeling, Price optimization and Customer life time value.Extensively worked on building conventional modeling and in the new era of machine learning modeling includes supervised and unsupervised learning i.e. regression, classification and segmentation with hands on experience in various algorithms such as Multiple regression, Multinomial logistic regression, Decision trees, Random forest, GBM (XGBoost & Lightgbm), K-means, Market basket analysis-Apriori, FNN, CNN, RNN, GAE\'s VAE\'s, Langchain, RAG, LLM\'s and Transformer like GPT, T5, BERT. Price elasticity analysis, RFM analysis, Cohort analysis and A/B testing. Natural language processing, Prompt engeneering.Excellent knowledge in data warehousing, data mining and data wrangling through various databases (Hadoop & Teradata ) querying through using (Pyspark & SQL). Parallel computing with DASK and data warehousing, data governance, data wrangling, implementing end to end machine learning operation (MLOps) using Azure machine learning studio via Automated ML, Azure ML Designer and Developer mode interface using Azure ML SDK for python. Azure Open AI studio, Azure Document intelligence studio.Very good interpersonal, decision making, communication, presentation, people management, client management, time management, strategy building, budget handling, Revenue generating and leadership qualities with exposure to project management tool like JIRA, Confluence and exposure in responding RFP, RFI and RFQ.Other areas of expertise includes model validation, model monitoring and model performance tracking, sensitivity testing, benchmarking, back testing and applying agile conceptual framework in the data science projects

Experience

1. Manager - Analytics and Insights (a & i)

   Tata Consultancy Services

   Jan 2022 — Present · Bangalore, IN

Education

• St.Matthias High SchoolKarnataka State

  Examination

  2002 — 2005

• St. Philomena's College, Bannimantap

  Physics , Chemistry , Mathematics and Biology

  2005 — 2007

• University of Mysore

  Bachelor of Science, Biotechnology, Microbiology and Biochemistry

  2007 — 2010

• Alliance Business School

  EPGDM in Business Analytics, Descriptive Statistics , Predictive Statistics and Prescriptive Statistics

  2016 — 2018