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Ashutosh Singhania

Product Manager

Bengaluru, Karnataka, India7 yrs 11 mos experience
Most Likely To Switch

Key Highlights

  • Led AI-driven projects enhancing user engagement.
  • Developed dynamic pricing models reducing runtime significantly.
  • Recognized as Employer of the Month for outstanding contributions.
Stackforce AI infers this person is a Data Science and Product Management professional in the Hospitality and Social Media sectors.

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Skills

Core Skills

Data ScienceMachine LearningData Analysis

Other Skills

A/B TestingAlgorithmsAnalytical SkillsAnalyticsBall Tree AlgorithmBloomberg TerminalC++CHAIDCausal Impact MethodologyCustomer SuccessDashboard CreationData AnalyticsData-Driven Matching ModelsDecision-MakingDeep Learning

About

I am an Associate Product Manager at ShareChat, India's leading social media platform with over 280 million users. I joined ShareChat in July 2021, involved in the Moj Feed AI project, a short video app that leverages artificial intelligence to enhance user engagement and retention. Before that, I was a Data Scientist at OYO, one of the world's largest hospitality companies, where I handled the dynamic pricing model of South East Asia and Middle East countries, and developed robust data-driven matching models and causal impact methodology to measure revenue impact using A/B testing. I also won the Employer of the Month award for my work. I have a strong background in data science, data analysis, and analytical skills, and I have completed multiple certifications and courses in machine learning and deep learning in Python and R. I graduated from Indian Institute of Technology, Kanpur, one of the most prestigious engineering institutes in India, with a Bachelor of Technology in Materials Science and a Minor in Industrial and Management Engineering. I also participated in the Harvard Project for Asian and International Relations (HPAIR), where I received a Certificate of Recognition for my contribution. As a product manager, I am passionate about creating innovative and impactful solutions that solve real-world problems and enhance user experience. I have a keen interest in the social media and entertainment industry, and I aspire to become a leader and an expert in this field. I value collaboration, learning, and excellence, and I always strive to deliver high-quality work and exceed expectations.

Experience

7 yrs 11 mos
Total Experience
1 yr 1 mo
Average Tenure
1 yr 8 mos
Current Experience

Murf ai

Product Manager

Oct 2024Present · 1 yr 8 mos · Bangalore Urban, Karnataka, India · Hybrid

Eloelo

Product Manager

Jan 2024Oct 2024 · 9 mos · Bangalore Urban, Karnataka, India · On-site

Sharechat

2 roles

Associate Product Manager

Mar 2023Jan 2024 · 10 mos · Bengaluru, Karnataka, India

Senior Product Analyst

Jul 2021Mar 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Moj Feed AI

Harvard project for asian and international relations (hpair)

Delegate

Jan 2021Jan 2021 · 0 mo

Oyo

Data Scientist

Sep 2019Jul 2021 · 1 yr 10 mos · Gurgaon, India

  • 1.Handling Dynamic Pricing Model of South East Asia and Middle East countries
  • 2.Designed a streamlined version of dynamic pricing codes which reduces run time from 3 hours to 6 mins.
  • 3.Developed robust data driven matching models (Using T-test, correlation cofficient, matching market,P-value and other statistical metrics) and causal impact methodology to see the revenue impact using A/B testing and also won Employer of the month award.
  • 4. Created inhouse Experimentation tool using R shiny Application to reduce the manual work.
  • 5. Worked on Machine Learning(XGBoost,Random Forest,KNN,SVM) and deep learning models to find out important features which affects the occupancy and prices of hotels.
  • 6. Built Competition Pricing Framework for China and South East Asian Countries using Ball tree Algorithm (Unsupervised Algorithm) to find the best competitor using amenities and price with the accuracy of ~95%.
  • 7. Used Glove embedding score (NLP) to have the text analytics of hotels descriptions and find the similarity score.
  • 8. Worked on Recommendation Engine which recommend prices for new properties .
Dynamic Pricing ModelData-Driven Matching ModelsCausal Impact MethodologyA/B TestingMachine LearningDeep Learning+2

Indus insights

Associate Consultant

May 2019Sep 2019 · 4 mos · Gurgaon, India

  • Lease and Loans Backlog Forecasting Model (Data Analytics)
  • Developed Forecasting Model using CHAID,Logistice Regressiona and XGBoost model for US based lease providing firm.
  • Reduced operating cost significantly by predicting funding in next 90 days with only 2 % error.
  • Created dashboard for company portfolio in Tableau for both Lease and Loans.
  • Provided Weekly reports of Backlog Prediction and Future Prediction using past data.
  • Cleaned master data of firm using SQL and used VBA coding to run model in loop.
  • Calls Analysis to Customers
  • Working on a project where firm’s Application/ calls are decreasing in last few months.
  • Developing a new marketing strategy for company to get a life of application /calls
  • Analyzing each factor which can reflect in more applications like time of call, kind of customers etc.
  • Using SQL and advanced Excel to get deep insights of which factor affecting less applications.

Iti growth opportunities venture capital fund

Management Trainee

May 2018Jul 2018 · 2 mos · Mumbai Area, India

  • Evaluation of Early Stage Tech Startups for Venture Capital Funding
  • Performed Industry/company analysis on over 100+ technology-based startups seeking to raise fund.
  • Analyzed company financials, identified key operating metrics, determined potential exogenous risks and cost drivers.
  • Interviewed potential startups founders and negotiated the deal which includes funding amount and stake in return.
  • Worked with four colleagues to publish a deep research report on “Future of Tech Startups in India after 10 years”.
  • Successfully invested ₹10 Million in an Electric Vehicle based startup working on OS for 2-Wheeler Electric Vehicle.
  • Confirmed deal with India’s biggest socks manufacturing company for funding of ₹20 Million with founders
Forecasting ModelData AnalyticsDashboard CreationSQLVBAData Analysis

Antique stock broking limited

Quantitative Researcher

May 2018Jul 2018 · 2 mos · Mumbai Area, India

  • Quantitative Research in Option Trading
  • Supported research insights with quantitative analysis of Infosys stocks using Bloomberg terminal and Microsoft Excel.
  • Developed Option Trading Strategy using Delta hedging to reduce risk associated with price movement.
  • Using Black Scholes Pricing model, analyzed when to trade in call and put which maximized the net profit.

Nirmal bang

Internship

Dec 2017Jan 2018 · 1 mo · Kolkata, West Bengal, India

  • Sales and Services on Stock Market
  • Worked in Front office responsible for maintaining client relations and analyzing stock market in equity and commodity.
  • Managed daily KYC form and reduce delay in account opening activities results in maintain client-company bond

Star finance

Forex Trader(Intern)

May 2017Jul 2017 · 2 mos · Bengaluru Area, India

  • Analysis of International Currency and Commodities market
  • Analyzed the world economic markets and making predictions about the upcoming trends using indicators.
  • Developed trading strategy using Japanese candlesticks pattern and indicators like RSI, Stochastic, Bollinger Bands.
  • Executed trades based on signals received from trading models includes pivot point calculator and Resistance support

Techkriti, indian institute of technology kanpur

Senior Executive, Show Management

Oct 2016Mar 2017 · 5 mos

  • Assisted in handling budget for Asia Largest Technical Fest with over 10000+ audience Responsibilities
  • Worked in 3-tier team of 100+ students to manage Shows, bills, tenders, MoUs, applications
  • Ensured the requirements to conduct the shows comfortably by considering the budget of festival
  • Allocated the venues of various shows and managed the seat arrangements and arena of shows

Antaragini, indian institute of technology kanpur

Secretary, Synchronicity

Apr 2016Sep 2016 · 5 mos

  • Guided 4 freshers to manage the Main Events of Headliners Bands with over 8000+ crowd
  • Built the database of Rock Bands in 8 major cities in India and called them to participate
  • Venues Selection, Headliner Bands Show Management, Bands Members Hospitality Management

Education

Indian Institute of Technology, Kanpur

Minor — Industrial and Management Engineering

Jan 2018Jan 2019

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Materials Science

Jan 2015Jan 2019

Delhi Public School bokaro

Intermediate — Science

Jan 2013Jan 2015

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Ashutosh Singhania - Product Manager | Stackforce