Nikhil Naik

Data Analyst

Bengaluru, Karnataka, India5 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Increased upsells by 200% at Zomato.
  • Optimized reporting pipelines for real-time access.
  • Developed innovative algorithms using TensorFlow and PyTorch.
Stackforce AI infers this person is a Data Science Consultant with expertise in SaaS and analytics-driven solutions.

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Skills

Core Skills

Data AnalysisStatistical AnalysisMachine LearningData VisualizationBusiness Analysis

Other Skills

SQLStatistical Data AnalysisPyTorchTableauPattern RecognitionExtract, Transform, Load (ETL)Root Cause AnalysisExploratory Data AnalysispandasOral CommunicationVBA ExcelExcel AutomationNatural Language Processing (NLP)Data ScienceProblem Solving

About

As a Data Science Consultant with 1.5 years of experience, I am passionate about solving complex business problems and uncovering valuable insights through data analysis and analytics. My expertise extends to various programming languages, including SQL, C++, C, and NoSQL, allowing me to approach data challenges from multiple angles. In my previous roles, I made a significant impact by increasing upsells at TATA 1mg and forecasted the demand to create the necessary supply at Zomato. My diverse experience spans across the retail, food, and pharmacy industries, and I am particularly enthusiastic about leveraging data science in these domains. My proficiency in machine learning and deep learning frameworks like Tensor Flow and Pytorch enables me to develop innovative algorithms for regression, classification, and both supervised and unsupervised learning. Moreover, I have successfully applied NLP techniques to extract meaningful insights from textual data at my previous client. I had the opportunity to contribute to the development of data-driven products and engineering solutions, ensuring seamless implementation of AI algorithms for our clients. One of my most rewarding projects involved forecasting order demand at Zomato, leading to a substantial increase in upsells by 200%. I have a strong understanding of statistical techniques, including Linear Regression and Classification, and I frequently employ resampling methods to enhance model accuracy. My curiosity drives me to stay updated with the latest advancements in AI and machine learning, and I find inspiration in staying connected to news and social groups within the data science community. Beyond the technical aspects of my work, I believe that enjoying what you do is essential for maintaining a healthy work-life balance. Fortunately, data science doesn't feel like work when it's your passion. In the future, I aspire to take on challenging data science consultations that allow me to apply my expertise and deliver meaningful solutions for clients. If you're looking for a dedicated data scientist with a knack for uncovering insights and driving impactful analysis, I'm excited to connect and explore how I can contribute to your projects and aspirations. Let's collaborate to harness the power of data and create data-driven success stories together! Feel free to reach out for insights and analysis that can transform your business.

Experience

5 yrs 9 mos
Total Experience
1 yr 5 mos
Average Tenure
--
Current Experience

Uber

Data Analyst

Jan 2024Jun 2025 · 1 yr 5 mos · Chicago, Illinois, United States · Remote

  • Optimized and scaled MDE (Minimum Detectable Effect) automation across global SMB and Enterprise
  • experiments, cutting report turnaround time by ~100% (from 7 days to real-time access) and enabling faster, databacked decisions for 20+ marketing teams worldwide.
  • Owned and delivered Project GOAT, creating a unified and standardized data pipeline that resolved inconsistencies across disparate sources, enhancing data quality and enabling scalable, accurate analytics for 100+ stakeholders across regions
  • Revolutionized daily reporting pipelines for Uber Eats campaign performance, streamlining visibility into KPIs such as impressions, conversions, spend, & ROI across multiple geographies & business segments through automated means using Python & SQL tools
SQLStatistical Data AnalysisData AnalysisStatistical Analysis

Nineleaps

Data Analyst

Jan 2024May 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India

Zebo.ai: ai based dermatology platform

Data Scientist

Mar 2022Dec 2023 · 1 yr 9 mos · Bangalore Urban, Karnataka, India · Remote

Machine LearningPyTorch

Tata 1mg

Regional Manager (South)

Jan 2021Mar 2022 · 1 yr 2 mos · Bangalore Urban, Karnataka, India

  • Handled the Southern Region of the business
PyTorchTableauData Visualization

Zomato

Assistant Program Manager

Jun 2019Nov 2020 · 1 yr 5 mos · Bangalore · On-site

  • City Supply Operations - Online Ordering : Handled new supply, engagement, support of the fleet for Pan Bangalore.
  • Responsibilities included improving active fleet in the city, increasing onboarding & resurrection and reducing fleet churn.
  • Managed the onboarding center of the city with an average daily walkin of 250+.
  • Planning & Strategy - Online Ordering, Bangalore.
  • Coordinated Cost, Quality Metrics, Ticketing Support, Communications, Onboarding for Pan Bangalore.
  • Drove new initiatives for the region and conducted various pilots including strategy projects.
  • City Supply Operations - Online Ordering : Handled new supply, engagement, support of the fleet for the city.
  • Responsibilities included improving active fleet in the city, increasing onboarding & resurrection and reducing fleet churn.
  • Managed the onboarding center of the city with an average daily walkin of 250+.
TableauPattern RecognitionBusiness Analysis

Education

National Institute of Technology Karnataka

Bachelor of Technology - BTech — Materials Engineering

Jan 2015Jan 2019

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