Nitesh Kumar

Business Development Executive

Bengaluru, Karnataka, India6 yrs 10 mos experience

Key Highlights

Developed a dynamic pricing system improving margins.
Automated analytics workflows enhancing operational efficiency.
Forecasted market size with high accuracy using regression models.

Stackforce AI infers this person is a Data Analyst in the Automotive and E-commerce sectors, specializing in analytics and pricing strategies.

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Skills

Core Skills

Data AnalysisStrategic PlanningBusiness Insights

Other Skills

API IntegrationAdvanced ExcelAuction Monitoring ToolsAutomation ScriptsBeautifulSoupBusiness Process ImprovementCron JobsDashboard BuildingExcelExcel MacrosFlaskFunnel OptimizationGitHubGoogle APIGoogle Analytics

About

I’m an analytics professional who enjoys solving real business problems using data. I have worked across pricing, marketing, product, and operations teams, and delivered projects that helped increase revenue, improve profitability, and support better decision-making. One of my key contributions has been delivering a dynamic pricing solution built end-to-end, backed by deep research, and designed to support long-term business growth. This involved understanding customer behavior, working closely with stakeholders, and applying data science to real-world pricing challenges. I have hands-on experience in building ML models, running A/B tests, and creating dashboards that help teams take action. I enjoy working with different teams and turning complex data into simple, useful insights. Some tools I use often are Python, SQL, Excel, Tableau, and Power BI. I’m skilled in ML modeling, regression, classification, EDA, and business reporting. I’m always curious to learn more and grow. I also scored 99 percentile in the International Math Olympiad and 94 percentile in the Physics Olympiad, which shows my strong interest in numbers from the beginning.

Experience

Lkq corporation

Data Analyst

Dec 2023 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

Worked on high-impact analytics projects for the European automotive aftermarket, supporting business strategy, forecasting, and customer insights.
Key Contributions:
Forecasted market size using macroeconomic indicators like inflation, GDP, vehicle registrations, and vehicles-in-operation. Built regression-based models and tested 30+ variables, achieving strong performance (R²: 80–88%, Accuracy: 95–98%).
Analyzed sales curves to identify high-potential product categories and geographies with untapped revenue opportunities.
Developed an automated NPS sentiment analysis system using NLP and topic modeling, extracting key themes and sentiment signals from customer feedback across 9 countries.
Contributed to a 3-year strategic plan involving category-level insights, growth strategy, and key vehicle trends to guide product and marketing decisions.
Tools & Technologies:
Python, SQL, Tableau, Excel, NLP, Scikit-learn, Topic Modeling, Regression Analysis, Strategic Planning

PythonSQLTableauExcelNLPScikit-learn+4

Beepkart

Business Analyst

Apr 2022 – Jun 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

At Beepkart, I played a key role in building and scaling the company’s analytics ecosystem from the ground up. Worked cross-functionally with founders, product, marketing, and ops teams to drive growth through pricing, automation, and insights.
Key Contributions:
Led the development of the dynamic pricing system at Beepkart, built end-to-end with deep research on market trends, buyer behavior, and inventory factors. It handled on-road price differences, demand-supply shifts, seasonality, and edge cases — improving margins, sales velocity, and procurement accuracy.
Designed vehicle price range logic based on make, model, year, ownership, mileage, and condition — boosting supply-side conversion and building pricing trust.
Built 20+ dashboards across product, supply, demand, marketing, pricing, and post-sales using SQL, Python, and Tableau/Power BI — enabling real-time decision-making and cross-functional visibility.
Automated 100% of recurring analytics workflows including pricing insights, KPI tracking, reporting, and lead routing using Python, SQL, scheduling tools, and API integration — eliminating manual tasks and improving operational efficiency.
Created Python-based web scraping tools to monitor competitor inventory and pricing — supporting better assortment planning and procurement strategy.
Developed lead scoring and inventory planning tools with Python and SQL
Ran multiple A/B tests across buyer and seller journeys, contributing to conversion optimization and experience improvement.
Tools & Technologies:
Python, SQL, Advanced Excel, Tableau, BeautifulSoup, Cron Jobs, Flask, Automation Scripts, API Integration

PythonSQLAdvanced ExcelTableauBeautifulSoupCron Jobs+5

Spinny

Business Analyst

Apr 2019 – Mar 2022 · 2 yrs 11 mos · Gurugram, Haryana, India

I started at Spinny as part of the city business team, working closely with sales and operations. As the company scaled, I moved into the central team and worked across pricing, supply-demand, and reporting.
Contributed to the team effort of building India’s first fixed-price engine for used cars. I supported the pricing and product teams from the analytics side — helping align pricing across cities using demand, vehicle, and market data.
Built multiple dashboards to help different teams track supply-demand trends, margins, and business KPIs. These became part of daily decision-making across city and central teams.
Automated reporting using Python and SQL, reducing manual effort and helping business leaders access critical metrics faster.
Developed a real-time auction tracker to monitor competitor activity, which helped improve procurement efficiency and response time.
Tools & Technologies:
SQL, Python, Tableau, Excel, Google Sheets, Automation Scripts, Auction Monitoring Tools

SQLPythonTableauExcelGoogle SheetsAutomation Scripts+3

Nikhilguru consulting analytics

Data Analyst

Oct 2018 – Apr 2019 · 6 mos · bangalore · On-site

This is where I gained my first hands-on experience in analytics. I worked with tools like SQL, Python, R, SAS, Power BI, Tableau, Advanced Excel, and Excel Macros. The internship helped me understand the fundamentals of reporting, data visualization, and analytical problem-solving. It laid the foundation for my journey into analytics.

SQLPythonRSASPower BITableau+2