Meet Saparia

CEO

Bengaluru, Karnataka, India6 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Co-Founder and CEO of multiple startups.
Expertise in Data Science and Quantitative Finance.
Proven track record in building innovative tech solutions.

Stackforce AI infers this person is a Fintech and AgriTech expert with strong data science capabilities.

Contact

Skills

Core Skills

Data ScienceQuantitative Finance

Other Skills

Data ScrapingDeep LearningGISLSTMMachine LearningNLPOption Pricing ModelsPythonStatistical ModelingXML extraction

Experience

Tryo

Co-Founder, CEO

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Try fashion for ₹0 in 60 mins
www.tryo.club

Stealth startup

Co-Founder

Sep 2024 – Jan 2025 · 4 mos

Powerup money

All things Growth

May 2024 – Sep 2024 · 4 mos

Uni cards

2 roles

Growth: Program Manager - II

Promoted

Dec 2022 – Sep 2024 · 1 yr 9 mos

Growth: Program Manager

Apr 2022 – Dec 2022 · 8 mos

Start- up

Founder

May 2021 – Jan 2022 · 8 mos · Bengaluru, Karnataka, India

Was trying to build a start-up in Ed-Tech, which died down in experimentation phase.
In this short stint, generated a revenue of 100K, acquired around 10K users & pivoted thrice.

Advantage alpha capital

Quantitative Researcher

Dec 2020 – Apr 2021 · 4 mos

Morningstar

Associate Data Scientist - Quant Research

Jun 2019 – Nov 2020 · 1 yr 5 mos · Mumbai, India

Innoplexus

Intern - Data Science (Financial Services)

May 2018 – Jul 2018 · 2 mos · Pune, Maharashtra, India

Innoplexus provides PaaS and DaaS based solutions using the power of AI and deep learning for Financial Services and Medical Domain.
Built a customized platform to classify customer issues into various financial problems using NLP and complex LSTM networks, the end goal was to build a automatic call center.
Worked on entity recognition and finding relations between those identified entities with relation extraction.
Built a customized XML extraction to parse financial data.

Aggois

Deep Learning Internship

Nov 2017 – Jan 2018 · 2 mos · Bangalore

Aggois is a growing start up trying to de-risk agriculture with insurance and providing liquidity to farmers with the help of financial Innovation and AI.
Worked on satellite Imagery to predict the crop yield of a farm using GIS and Deep Learning to
enhance the insurance pricing mechanism.
Satellite data scraping and image aggregation/manipulation of sentinel using sentinel API and pyhton gdal.
Setting up an end to end process for data scraping and parsing from various sources.

Farebond

Quant Analyst

May 2017 – Aug 2017 · 3 mos · bangalore

FareBond is a data science and a predictive analytics company that leverages AI and ML to boost customer engagement and sales.
Implementing machine learning on their product "FareLock" which allowed users to lock flight price for a given number of days (analogous to call options).
Using statistical modelling and various machine learning techniques like Clustering , Decision Trees , Gaussian Mixture models and various bagging and boosting models for option pricing.
Improving the efficiency of their existing backend code.