Ansh Agrawal

Ansh Agrawal

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Business Development Manager at Ansh
Delhi, India

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Jobs verified_user 0% verified
  • Pravix
    Founder
    Pravix
    Oct 2025 - Current (9 months)
    Catch Data issues before they break your Mixpanel reports. Monitor and detect any data quality issues in real-time. Keep your analytics reliable with automated quality checks.
  • Adasight
    Analytics consultant
    Adasight
    Sep 2025 - Feb 2026 (6 months)
  • CRED
    Product analytics
    CRED
    Jun 2022 - Jan 2024 (1 year 8 months)
    I’ve delivered insights & created models that boosted success rates by ~5%, cut costs by ~10%, and upped efficiency by ~5%. Apart from the above, here's what I've helped them with: 1. Built an attribution model to identify factors for change in metrics, along with quantifying change due to each factor. 2. Built a dynamic model to record outages across payment providers, using which the outages reduced by 93% m-o-m. 3. Set up data automation using Google Scripts API to automatically transform data, & email various payment providers with their data attached from Google Sheets itself. 4. Constructed various dashboards for stakeholders to perform RCA, monitor A/B tests, Tokenisation, Offer- efficiency, etc.
  • Datalyze
    Founder
    Datalyze
    Jan 2022 - Current (4 years 6 months)
    We help teams collect clean data, unlock insights, and run experiments that compound. From tracking and dashboards to deep analysis and experimentation - we're your fractional analytics and growth partner. Learn more at www.joindatalyze.com
  • CRED
    Product Analyst
    CRED
    Sep 2021 - Jan 2022 (5 months)
    Cred is an Indian fintech company valued at $4 billion, based in Bangalore, founded in 2018. I helped CRED with the following: 1. Setting up a fraud alert system, reducing frauds by 90% 2. Constructed various dashboards for specific stakeholders to monitor A/B tests, Tokenisation, Offer- efficiency, etc. 3. Conducted multiple analyses for specific use cases, to identify user trends, insights, etc.
  • Sheroes
    Product Analyst
    Sheroes
    May 2021 - Jul 2021 (3 months)
    1. Constructed High-Level Dashboards using MySql to enable stakeholders to make data-driven decisions efficiently 2. Automated all data-related manual processes in the organization using GA, Redash & Excel 3. Extracted insights that enabled the stakeholders to focus on potential anti-growth areas & informed them of various unexpected user trends
  • Degrees Consulting
    Analytics Head | Project Casa Youth Shelter
    Degrees Consulting
    Feb 2021 - May 2021 (4 months)
    180 Degrees Consulting is the world’s largest university-run consultancy which provides business consulting support for social enterprises as well as for non-profits. Helping in defining the Key Performance Indicators on the Marketing and Fundraising Strategies being employed currently at Casa Youth Shelter, USA.
  • Atom EI
    Product Analytics
    Atom EI
    Feb 2021 - Mar 2021 (2 months)
    Working with the Analytics team to structure incoming data to enable Data-Driven Decisions.
  • RealTalk
    Founder
    RealTalk
    Dec 2020 - Mar 2022 (1 year 4 months)
    RealTalk is an anonymous platform that allows users to express their feelings without any fear of judgment through numbers. You can download our app via https://play.google.com/store/apps/details?id=com.joinrealtalk
  • Enactus DTU
    President
    Enactus DTU
    Sep 2020 - Sep 2021 (1 year 1 month)
    Responsible for and trusted with leading the entire team of Enactus DTU, with a unified goal of bringing about a positive change in the society through uplifting communities.
  • Selfemployed
    Karnataka School Insights
    Selfemployed
    Sep 2020 - Dec 2020 (4 months)
    • Created an Issue Tree to identify the problem statement to be focused upon • Created new parameters, and carried out anomaly detection, Q-Q plots, Box plots, 95% CI, M- estimators, etc. using MS Excel & SPSS • Conducted statistical tests such as Fisher’s, ANOVA, Bayesian statistics • Created visually impactful stories in Tableau leading to meaningful insights of the data
  • Enactus DTU
    Executive Core Committee
    Enactus DTU
    Dec 2019 - Sep 2020 (10 months)
  • Enactus DTU
    Core Member of Project Milan
    Enactus DTU
    Aug 2019 - Sep 2020 (1 year 2 months)
    Devised in collaboration with Enactus Southampton University, Project Milan aims to address the Indian Agrarian Crisis in the most novel, innovative way possible – through the implementation of Aquaponics. Aquaponics is a neo-agrarian tool – one which combines both pisciculture (fish farming) and agriculture into a symbiotic system, whereby the excreta of fish is used to provide essential nutrients to plants. The system thus works in a cyclic fashion. Fostered a team to construct the whole structure of Project Milan (Aquaponics – Soil-less farming) from scratch by devising new cost reduction techniques reducing cost by 57% compared to the industrial structure. Currently, as the Pilot Projects stands ready, I would be looking into the expa
  • KNPC
    Data Analyst
    KNPC
    Jun 2019 - Jul 2019 (2 months)
    Performed data analysis and developed a path for cables and spotted the free routes. Spotted major faults in the cable layout and created new routes using the free routes available through various intermediates. Customized a more refined pathway reducing material usage and distance.
Education verified_user 0% verified
  • Delhi Technological University Formerly DCE
    Bachelor of Technology - BTech, Mathematics and Computer Science, Mathematics and Computer Science
    Delhi Technological University Formerly DCE
    Jan 2018 - Dec 2022 (5 years)
  • F
    COMPUTER SCIENCE, PCM
    FAIPS DPS
    Jan 2002 - Dec 2018 (17 years)
Projects (professional or personal) verified_user 0% verified
  • B
    BCG Strategy Consulting Virtual Program
    May 2020
    Assessed whether Company X should implement the handset leasing service or not in order to ramp up their profits. Explored and investigated various areas including but not limited to market research, data analysis, financial analysis, understanding consumer needs and client recommendation.
  • R
    Review paper on Customer Churn
    Mar 2020 - Current (6 years 4 months)
    In the process of developing and publishing a review paper that aims to add insight onto the deviations in accuracy of different models when certain parameters are discarded for the customer churn in telecom sector.
  • D
    Data Analysis Projects
    Mar 2020 - Current (6 years 4 months)
    Formulated a financial forecast model using MS Excel using pivot tables, MATCH, INDEX, OFFSET, MACROS, etc. Analyzed a Sales database using MySql identified value adding insights in the form of analysis of worldwide sales of products and customer orders. Created visually impactful dashboards in Tableau for Orders for a Superstore dataset. Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.
  • M
    Machine Learning Projects
    Dec 2019 - Current (6 years 7 months)
    Constructed a future house price prediction model using a Kaggle dataset with a rank of 3173 Formulated a NLP classification model to detect whether a tweet correctly predicted a disaster or not with a rank of 1517
  • H
    Hotel Reservation system
    Jan 2018 - Feb 2018 (2 months)
    Created a hotel reservation system using Borland C++ The model keeps into account all of the essentials required in the hotel reservation system
Publications verified_user 0% verified
  • I
    Quantitative study of candlestick pattern & identifying candlestick patterns using deep learning for the Indian stock ma
    International Journal of Health Sciences
    May 2022
    The stock market is an integral aspect of any country’s economic infrastructure. Analyzing and attempting to play the markets to maximize profits is an endeavor a large fraction of the population aspires to. Candlestick patterns are the backbone of Technical Analysis, used for trading in the stock market. There are a number of candlestick patterns in the market, each with its own benefits and downsides. Due to this, the task that befalls the hands of analysts is deciding which patterns provide the most effective gauge of the current market situation. Due to the large level of noise and widely recognized semi-strong form of market efficiency, analyzing and forecasting the stock market is infamously difficult. For traders that use Technical A
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