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Lifesciences & AI @ Sigmoid | Guest Faculty @ BITS Pilani
Lifesciences & Data Science for over a decade across product and consulting industries. Know few things in conceptualizing, designing, developing, and deploying AI solutions that move business needles using Curiosity, Domain understanding and sometimes Machine Learning models as well. Love organizing, building and managing high-performing cross-functional teams which cut across the industry vertical. Trusted by Life Sciences Companies to experiment in Digital Transformation, Customer engagement, Sales and Marketing Effectiveness , AI Capability development, Gen AI Infusion and Product development to move Effectiveness and Efficiency. Tolerated as Speaker, Guest faculty, and mentors by academia and industry to share some notes every now and then on advancing AI and fostering innovation to deliver meaningful solutions to often complex business challenges Beyond 9to5 - - Guest Faculty at BITS Pilani for Masters of Engineering Degree students for last 6+years guiding more than 280 + students, delivering 80+ lectures, 400+ hours of student engagement & evaluated 340+ papers & 70+ project dissertations. - Guest Speaker Invitee for Healthcare Analytics Workshop at IIT Madras for BS Data Science Graduates, AI in Forecasting - Cypher , Upgrad - Industry Trend. - Ranked in World Top 7% in Global M5 competition for Multivariate Hierarchical Time-Series Forecasting
National University of Singapore
Master of Technology - MTech (Full Time), Machine Learning & Enterprise Analytics
January 1, 2013 – January 1, 2015
University of Mumbai
Bachelor of Engineering (BEng) (Full Time), Electronics, CRCE, Bandra
January 1, 2006 – January 1, 2010
Rajhans Vidyalaya
Senior Secondary , CBSE Science, Science
January 1, 2004 – January 1, 2006
K.V. Shahibaug
Secondary School , CBSE, Science
January 1, 1996 – January 1, 2004
Sigmoid
Principal - Life Sciences, Business Consulting & Solutions
March 1, 2025 – Present
Bangalore Urban · Hybrid
ZS
Director AI, ZAIDYN Platform, Life Sciences
January 1, 2023 – February 1, 2025
ZS
Data Science Engagement Manager
December 1, 2019 – December 1, 2022
Birla Institute of Technology and Science, Pilani
Guest Faculty
February 1, 2019 – Present
Bangalore
ZS
Data Science Consultant
July 1, 2017 – November 1, 2019
Simplilearn
Consulting Faculty - AI/ML
October 1, 2016 – March 1, 2018
Pune Area, India
ZS
Data Science Associate Consultant
May 1, 2015 – June 1, 2017
Hewlett Packard Enterprise
Applied Data Science Intern
August 1, 2014 – March 1, 2015
Singapore
Amdocs
Senior SME Product Migration
July 1, 2012 – December 1, 2013
Amdocs
Programming SME, Data Migration
June 1, 2010 – November 1, 2013
Python_tinkering
February 1, 2015 – Present
Collection of Mini Hobby Codes in Python implementing basic 2D Interactive Gaming, written to try Event Driven Pgm Concepts and Motion/Velocity control modeling #1 Table Pong: https://github.com/mayankte/Python_tinkering/blob/master/Table_Pong #2 Sillystop: https://github.com/mayankte/Python_tinkering/blob/master/SillyStop above codes include the link to codeskulptor script on cloud for ready trial n test
'R' based Mini Projects
January 1, 2015 – Present
# 1. Cache Implementation for computationally Expensive Operations: https://github.com/mayankte/mayankte.github.io/blob/master/R_Cache_Implementation # 2. Directory (multi-file) Operations based on User Specifications: https://github.com/mayankte/mayankte.github.io/blob/master/pollutantmean https://github.com/mayankte/mayankte.github.io/blob/master/corr # 3. State wise Hospital Ranking for lowest mortality rate for a given terminal cause (US Hospital Data , UCI Machine Repository) https://github.com/mayankte/mayankte.github.io/blob/master/best.R # 4. State Wise Hospital Names for an User Specified Rank and User Specified Terminal Cause https://github.com/mayankte/mayankte.github.io/blob/master/rankall.R
Clustering App ; based on Statistical Clustering Algorithms
December 1, 2014 – Present
Following is the Slidify PPT hosted in RPub ,covering the app documentation : http://rpubs.com/mayankte/55551 Following is the App V 2.0, hosted in Public shinyserver: (Till they pull the plug) https://mayankte.shinyapps.io/clustering_app/ ## Version 1 and Version 2 Codes are publicly hosted @ github: https://github.com/mayankte/mayankte.github.io V1 is reported to be stable but inefficient. V2 code is optimized but it is reportedly unstable
Palak 2.0
June 1, 2014 – Present
A simple Java application developed as a Hands on Hobby project to capture and autostore screenshots to a designated folder to expedite screen capture activity during college Lectures at NUS Version 2 had integrated MS Outlook mailing utility.
Ideatory Telr Data Mining Challenge,2014 , Singapore
April 1, 2014 – Present
Objective : Analyze dataset to detect counterfeit banknotes Procedure followed : Data PreProcessing , Data Modeling using Logistic Regression , Linear Discriminant Analysis and Neural Networks(RBF , MLFF) - Shortlisted for the Finals - Lost in the Final Round
Hadoop 2.0 , PIG n HIVE Playwork
January 1, 2014 – Present
- Data Loading on Hadoop Cluster;HDFS (Hadoop. 2.0) using shell cmds - Data Querying and Handling using PIG n HIVE -> Book Publishing Prob: https://github.com/mayankte/bigdata_works/blob/master/PIG%20n%20HIVE%20based%20Sol. -> Student Dataset ; Result pivoting Problem; Implemented as a grunt shell script; https://github.com/mayankte/bigdata_works/blob/master/Student_Set_PIG_Sol.
Excelcom 8.1 (TurboCharging)
February 1, 2012 – December 1, 2012
Excelcom 8.1,Indonesia , Amdocs Turbocharging Billing System Upgrade Product : Amdocs Enabler 8.1 Turbocharging , CM ,SRM , Amdocs Clarify CRM Subscriber Base : Primarily Prepaid
Excelcom CRM
April 1, 2011 – September 1, 2011
Excelcom Indonesia Amdocs CRM 7.5 Upgrade Products : Amdocs Clarify CRM 7.5 (Smart Client) , Amdocs Enabler , CM ,SRM Subscriber Base : Primarily Prepaid
Wireless Electricity Transmission Using Magnetic Resonance Imaging
September 1, 2009 – June 1, 2010
Thesis on 'Wireless Electricity Transmission Using Magnetic Resonance Imaging' as a part of the Final Year Engineering Project
PhotoAcoustic Spectroscopy for Non-Invasive Blood Glucose Measurement, IIT Bombay
February 1, 2008 – Present
The Project was Undertaken as a Part of a Competition at IIT Bombay , at ELIXIR , LIFE 2.0 , TechFest 2008
Event Driven Programming, Discrete Optimization, Deep Learning Specialization
Coursera
June 24, 2026 – Present
Communicate to lead
Dale Carnegie
June 24, 2026 – Present
Developing Data Products; Johns Hopkins University
Coursera
June 24, 2026 – Present
Big Data and Hadoop Architecture
Edureka
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from statistical clustering apps to big data playworks and competitive data mining challenges, indicates a strong inclination towards continuous learning and practical application. Their experience in both consulting and academic roles suggests adaptability and a collaborative mindset. The long tenure at ZS, progressing through multiple roles, indicates loyalty and growth within an organization. The target role of ML Engineer aligns well with their academic background and professional focus on AI/ML solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and communication skills through their roles as Director AI and Engagement Manager, where they led numerous projects and managed stakeholder alignment. Their experience as a Guest Faculty also indicates an ability to articulate complex technical concepts. The descriptions suggest a proactive approach to problem-solving and team building.