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Lead Data Scientist with 10+ years in Sales Analytics, Marketing & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring data scientist with diversified work experience in sales analytics, digital marketing, and campaign intelligence. Fast learner with strong business acumen uniquely positioned at the intersection of data science and customer-centric strategy, seeking an opportune domain to exhibit knowledge in ML, AI, and data-driven decision making.
George Brown College
PG Program · Strategic Relationship Marketing
January 1, 2014 – December 1, 2014
Champlain College, Burlington VT / St Xavier Technical Institute - Thinc International
Bachelor of Science · Software Engineering
September 1, 2007 – May 1, 2011
Tech Mahindra Business Services
Sales Representative - Customer Relations Advisor
July 1, 2019 – Present
Mumbai, Maharashtra, India
Firstsource Solutions
Sales Representative - Senior Customer Service Associate
March 1, 2018 – June 1, 2019
Mumbai, Maharashtra, India
Tech Mahindra Business Services
Sales Representative - Customer Relations Advisor
August 1, 2016 – November 1, 2017
Mumbai, Maharashtra, India
IOS Commerce
Assistant Manager - Business Development Executive
January 1, 2015 – July 1, 2016
Mumbai, Maharashtra, India
Bell Canada
Campaign Insight Analyst
June 1, 2014 – September 1, 2014
Toronto, Ontario, Canada
HDFC Bank
Assistant Manager - Marketing
November 1, 2012 – September 1, 2013
Mumbai, Maharashtra, India
IFMR Trust
Digital Marketing Intern
June 1, 2011 – August 1, 2012
Chennai, Tamil Nadu, India
Support Ticket Categorization
May 1, 2024 – Present
Advanced ticket categorization system using LLMs and prompt engineering to classify, tag, assign priority and ETA for support tickets.
Object Detection & Face Recognition
March 1, 2024 – Present
Three-part project: face detection for streaming cast/crew info; training dataset curation; enterprise face identification model.
Neural Networks & Deep Learning
February 1, 2024 – Present
Signal quality regressor/classifier for communications equipment; street-level number image classifier using deep neural networks.
Credit Risk Default Model
February 1, 2022 – Present
Predicted loan default likelihood for Indian companies using performance data.
Grocery Store Revenue & Automobile Buying Patterns
January 1, 2022 – Present
POS data analysis for revenue recommendations; RFM-based segmentation for auto parts manufacturer.
Online Retail Orders Analysis
December 1, 2021 – Present
Data-driven query analysis of an online retailer's orders database to support business decisions.
Visualizing Insurance Claims
December 1, 2021 – Present
Interactive CEO-facing dashboards for insurance claims insights driving company policymaking.
Forecasting Wine Sales – ABC Estate Wines
November 1, 2021 – Present
Multiple forecast models for two wine products with 12-month outlook and confidence intervals.
Election Exit Poll & Presidential Speech Analysis
October 1, 2021 – Present
Vote prediction by survey data; text mining analysis of inaugural U.S. Presidential speeches.
Gems Price & Holiday Package Prediction
August 1, 2021 – Present
Linear regression for gem price prediction; logistic regression and LDA for holiday package purchase likelihood.
Bank Customer Segmentation & Insurance Claim Prediction
July 1, 2021 – Present
Clustering and predictive modelling on bank marketing and insurance datasets with multiple performance metrics.
Salary Analysis & College Admissions PCA
June 1, 2021 – Present
ANOVA on salary data; PCA on college admissions dataset to derive statistical inferences.
Store Sales, Survey & Manufacturing Statistical Analysis
May 1, 2021 – Present
Analysed three datasets using descriptive statistics, probability distributions, and hypothesis testing.
Uber Driver Trip Analysis
April 1, 2021 – Present
Analysed various aspects of Uber driver trips using Python functions for data interpretation.
PG Program in Artificial Intelligence & Machine Learning
Great Lakes Institute, Great Learning
January 1, 2024 – Present
PG Program in Data Science & Business Analytics
The University of Texas at Austin (McCombs) / Great Lakes Institute, Great Learning
March 1, 2021 – Present
Cultural Fit Analysis
The candidate's background shows a blend of sales/marketing experience with a recent pivot towards data science through extensive academic projects and certifications. This indicates adaptability and a strong drive for career transition. The diversity of academic projects, from financial modeling to natural language processing and computer vision, suggests a broad interest in data science applications. While the professional experience is not directly in data science, the focus on customer-centric strategies and business acumen aligns well with applying data science to real-world business problems. The candidate's objective explicitly states a desire to work at the intersection of data science and customer-centric strategy, which aligns with roles requiring both technical depth and business understanding.
Soft Skills & Operational Fit
The candidate's professional experience, though primarily in sales and customer relations, highlights strong communication, customer service, and target achievement skills. These are transferable soft skills that can contribute to effective stakeholder communication and project management in a data science role. The experience in training and mentoring new sales representatives also indicates leadership potential and a collaborative mindset. However, the direct operational experience in a data science capacity is limited to academic projects.