With my strong technical skills, leadership abilities, and passion for generating value through data science, I am excited to take on new challenges that have company-wide impact.
nitesh sukhwani
@niteshsukhwani
I am seasoned data scientist with 4 years of experience on domains like Ecommerce and IGaming.
IndiaWhat I'm looking for
I am an accomplished data science professional with almost 4 years of experience building impactful machine learning solutions for online gaming and e-commerce companies. I have a proven track record of leveraging predictive modeling, probabilistic techniques, and data engineering to drive business outcomes.
Across two companies, I developed models for forecasting, classification, and recommendations that increased revenue by over $1M annually. I established rigorous machine learning operations capabilities to deploy models to production reliably and monitor their continued effectiveness.
Beyond delivering technical solutions, I served as a mentor and leader in building scalable data science functions. I guided intern teams and spearheaded development of processes for rapid experimentation and innovation. I worked closely with stakeholders in product, engineering, and operations to ensure alignment between analytics efforts and business goals.
With my strong technical skills, leadership abilities, and passion for generating value through data science, I am excited to take on new challenges that have company-wide impact.
Experience
Data Scientist
flutter Internation
Nov 2022 - Present (1 year 6 months)
• Designed an End to End Anomaly Detector using facebook’s prophet model for detection in any downtrend in activities at various licenses and operating system in real time.
• Built a tournament demand forecasting engine using Xgboost algorithm to optimize dynamic tournament scheduling, improving operation efficiency to schedule tournaments.
Data Scientist
Gokwik
Feb 2021 - Nov 2022 (1 year 9 months)
* Develop and deployed predictive models for various D2C merchants to help to solve Return to Origin(RTO) problem by predicting those at the checkout using Boosting and logistic models.
• Proven 9% reduction in RTO rate on 2 merchants which leads to Monthly GMV upliftment by 5.5 Lakh INR. Also reduced the customer acquisition cost by 12%
Trainee Data Science
utopia
Jan 2020 - Jan 2021 (1 year)
IDCC (Intelligent Data Capture and Control) : The main objective of the project is to extract structured information from metal plates of assets of manufacturing plants. My responsibilities are following
∗ Manufacturer logo detection using YOLO
∗ Image classification for nameplate/non-nameplate
Tech stack
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