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Anshuman Tewary

2.5 years of experience in high-growth startups, skilled at driving revenue, scaling operations,

and improving customer retention. Proven expertise in data analytics using tools like Power BI

for visualization, Python and SQL for Data Modelling and Forecasting

  • Role

    Sr. Associate, Hybrid Ops | Account Manager

  • Years of Experience

    5 years

  • Professional Portfolio

    View here

Skillsets

  • Braze
  • Confluence
  • Databricks
  • Excel
  • Jira
  • Power BI
  • SQL
  • Amplitude
  • automation
  • Dashboard Development
  • Operations Analytics
  • ReDash
  • Reporting
  • Salesforce
  • Web engage

Professional Summary

5Years
  • May, 2024 - Oct, 20251 yr 5 months

    Sr. Associate, Hybrid Ops

    Chegg India
  • Mar, 2022 - May, 20242 yr 2 months

    Key Account Manager

    Classplus
  • Aug, 2020 - Dec, 20211 yr 4 months

    Lead Sales Enablement

    Quality Kiosk Technologies

Applications & Tools Known

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    MySQL

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    Power BI

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    Tableau

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    Python

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    PostgreSQL

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    SQL Server

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    WebEngage

Work History

5Years

Sr. Associate, Hybrid Ops

Chegg India
May, 2024 - Oct, 20251 yr 5 months
    Led expert operations across service level, quality, and turnaround time, consistently maintaining >90% SLA compliance across high-volume workflows. Owned end-to-end expert lifecycle management, optimizing onboarding, routing, and allocation logic to improve platform efficiency and scalability. Built and automated SQL + Databricks dashboards for real-time tracking of SL, QC, TTR, volume trends, and capacity planning, enabling faster decision-making. Improved turnaround time by ~43% and reduced expert skips by ~15% by designing a dynamic pricing model linked to question difficulty, skip count, etc. Increased platform engagement and solutions supply balance by launching event and attribute-based CRM campaigns (Braze) using quality, activity, demand forecasts and other core metrics. Improved quality outcomes (QC 4.5/5) for critical subjects by refining expert-tiering logic and routing algorithms.

Key Account Manager

Classplus
Mar, 2022 - May, 20242 yr 2 months
    Managed a $3M revenue portfolio across 19 enterprise clients and 3 business categories. Drove ~13% month-on-month revenue growth through analytics-led sales and marketing strategies based on user behaviour and funnel insights. Supported forecasting and planning by translating user behaviour and funnel data into actionable sales and marketing insights. Increased Daily Active Users by ~33% by executing lifecycle campaigns using Web Engage (CRM) and custom event tracking.

Lead Sales Enablement

Quality Kiosk Technologies
Aug, 2020 - Dec, 20211 yr 4 months
    Led pre-sales and sales enablement for enterprise QA and digital assurance solutions across India, UAE, and Singapore, supporting a 2530 Cr annual sales pipeline. Supported enterprise deal sizes ranging from 75L to 6Cr, primarily across BFSI, telecom, and digital-first clients. Owned the end-to-end pre-sales lifecycle for 15 20+ active enterprise opportunities per quarter, covering requirement discovery, solutioning, pricing inputs, and proposal responses. Actively contributed to RFPs and RFQs with deal cycles spanning 39 months, coordinating with sales, delivery, and solution architecture teams. Tracked and managed leads, opportunities, and deal stages using Salesforce CRM, improving pipeline visibility, forecast accuracy, and stakeholder alignment across regions. Conducted market and competitor research across Indian and global QA vendors to benchmark pricing, service offerings, and positioning, directly informing bid strategy and commercial proposals.

Achievements

  • SQL Gold Batch HackerRank SQL Intermediate HackerRank Best Project in Business Analysis Case Study

Major Projects

3Projects

IT FIRM INCIDENT TICKET ANALYSIS AND FORECASTING

Jul, 2022 - Oct, 2022 3 months

    In this project, we had to understand the ticket trends of an IT company and forecast staffing/resource requirements, based on factors like monthly tickets created, tickets closed, product failures, shift patterns, product usage, etc. We use Python for ETL, pre-processing, EDA, and finally use ML algorithms to train the model, to achieve the business requirements

    The end goal is to forecast the staffing requirement even before an incident takes place, based on the product usage history

    https://github.com/I-amanshuman/Incident_ticket_analysis

AW - Business Insights 360

Apr, 2021 - Jun, 20221 yr 2 months

    THE SITUATION Youve just been hired by AW Cycles, a global manufacturing company, to design and deliver an end-to-end business intelligence solution from scratch!

    THE BRIEF Your client needs a way to track KPIs sales, revenue, profit, and returns, compare regional performance, analyze product level trends and forecasts, and identify high-value customers All youve been given is a folder of SQL dump files, containing information about transactions, returns, products, customers and territories

    THE OBJECTIVE Connect and transform the raw data Build a relational data model Create new calculated columns and DAX measures Design an interactive report to analyze and visualize the data in 3 dashboards,

    1. Executive View
    2. Product View
    3. Sales View

    ** Load the Sales View by default

    https://www.novypro.com/project/salesreportaw

PREDICTING INDIAN FLIGHT TICKET PRICES

Jan, 2022 - Mar, 2022 2 months

    In this project, I am trying to analyse the data and understand the features, to predict flight ticket prices. This dataset has multiple features like Date, Source, Destination, Stops, Route, and Price.

    The end goal is to do EDA and find key insights about each feature, treat the variables, choose regression training models and use hyperparameter tuning, to create a robust model that accurately predicts the prices of tickets given the mentioned features

    https://github.com/I-amanshuman/predicting_flight_ticket_prices

Education

  • PGP, Business Analytics

    IIM Indore (2022)

  • PGDM, MBA (Marketing)

    IMT Ghaziabad (2020)

  • B.Tech (Mechanical Engineering)

    Techno India University, Kolkata (2018)

Certifications

  • Salesforce for marketers

  • Microsoft power bi desktop for business intelligence

Interests

  • Long Rides
  • Cricket