Bengaluru, Bangalore North, Bangalore Urban, Karnataka, India
Member Since 2020

Sumit Singh


Contact Candidate

    Login to bookmark
    About the Candidate

    1. Senior Data Scientist, Remote Job,Nestle, Switzerland. Aug 2019 – till date
    LSTM, VAR & VECM implementation for Price Prediction of commodities futures and energy prices.
    GBM & design of ensemble for selection from different models.
    Impact: The prediction beats the benchmark 70%+ times as shown by back testing.
    Coding and implementation of Mean Reversion for Price Risk Management for commodities futures in
    Python. Implementing it for energy as well.
    Impact: Back Testing shows savings around 100m CHF per year.

    2. Senior Data Scientist, Telecom Analytics, Subex, Bangalore. Jun 2017- Jul 2019
    Worked as a senior data scientist to create statistical modeling with a team. Main projects: Anomaly Analytics and Social Network Analytics using large scale telecom data. Used algorithms/ methods such as PCA, LSTM with Time Series to detect anomaly and minimize false positives.
    Worked on diffusion modelling to create ideas for Social/Cell network analysis using networkx, pandas package in Python.
    Project management work such as planning KRAs. Designing and conducting training on Statistical Learning, R and Python.

    3. Manager, Fin Enterprise Analytics Philips Innovation Campus, Bangalore Jan2016-May 2017
    Projects: Working Capital Analytics, Factory P&L Analysis. Methods Used: ML(Decision Tree, Random Forest,
    PCA, Cluster Analysis), ARIMA. Impact – 10% reduction in locked working capital. Languages: SQl, R, Python.


    4. PhD Paper3

    Inventory Control of Perishable Inventory which can be converted into different forms
    Desc: Multi-Period decision problem for convertible perishable products with stochastic demand (with different statistical distributions) and price in different periods. Techniques Used: Convex Optimization, News-vendor Model, Differential Calculus, Sensitivity analysis, Simulation in Python.

    5. PhD Paper 1 and 2
    Inventory Control of Two Stage Perishable Inventory
    Desc: Stochastic Deterministic model for two stage perishable inventory (used in Airline, Auto mobile and PCB industry) control.
    Techniques used: EOQ Model, discreet time Markov chain, Queuing Theory, Alternating Renewal Process and various statistical distributions.
    Result: Closed form/Algorithmic solution to determine lot size, unit size and N policy of queuing.
    Techniques Explored: Markov Decision Process, Multi-armed Bandit models, Dynamic Programming, Stochastic Programming, Other Machine Learning Algorithms.

    Indian Institute of Management Bangalore PhD

    PhD in Decision Science. Topic: Stochastic Modeling of two-stage perishable inventory.

    Indian Institute of Technology (ISM) Dhanbad B.Tech (Mineral Engineering)

    Bachelor of Technology in Mineral Engineering

    Deep LearningForecastingMachine LearningPythonQuantitative ModelingSQLStatistics
    Candidate Overview
    Job alerts

    Subscribe to our weekly job alerts below and never miss the latest jobs

    Sign in

    Sign Up

    Forgotten Password