Nirbhay Tiwari Email & Phone Number

Delhi, India

California, United States

Generative AI ProjectData Exploration and PreparationAnalyzing large datasets to identify trends, anomalies, and insights.Collaborating with teams to gather and preprocess data from diverse sources.Developing data cleaning and transformation pipelines.Model Development and Evaluation:Designing and refining machine learning models to meet project objectives.Applying advanced statistical and machine learning techniques.Evaluating model performance and conducting rigorous testing.Natural Language Processing (NLP) Expertise:Utilizing NLP methodologies to process and analyze textual data.Implementing state-of-the-art NLP algorithms and models.Collaborative Problem Solving:Working closely with cross-functional teams to translate requirements into solutions.Providing data-driven insights and recommendations.Contributing innovative ideas to address challenges.Experimentation and Optimization:Planning and executing controlled experiments.Optimizing model performance through experimentation and tuning.Monitoring key performance indicators for further refinement.Documentation and Communication:Documenting methodologies, findings, and insights.Communicating effectively with technical and non-technical stakeholders.

Gurugram, Haryana, India

Responsibilities & Contribution:-• Inventory Health Analysis: Conduct ABC analysis, inventory turnover, and stock-out analysis to optimize inventory levels, reduce carrying costs, and ensure products' availability while minimizing excess stock.• Customer Behavior Analysis: Utilize customer order history and feedback data to understand purchasing patterns, preferences, and trends, contributing insights for personalized marketing strategies or product placement.• Cancellation Trend Analysis: Analyze historical data to identify patterns and trends related to order cancellations. Investigate reasons such as stock unavailability, shipping delays, or customer dissatisfaction.• Customer Segmentation Analysis: Segment customers based on order cancellation behavior, demographics, purchase history, and interaction patterns to understand which groups are more prone to cancellations and why.• Feedback and Sentiment Analysis: Analyze customer feedback, reviews, and support interactions to understand the underlying reasons for dissatisfaction leading to cancellations and gauge sentiment trends.Analysis Tools Used:Python - PandasMysqlPower BiAdv Excel - Power Query, Macros AutomationNLPMachine Learning

Delhi, India

Responsibilities & Contribution-:• Built a predictive model for driver churn prediction, enabling proactive measures to retain customers and reduce customer attrition. The model accurately identified customers at risk of churning, allowing targeted retention strategies to be implemented, leading to a 15% decrease in customer churn rate.• Conducted in-depth analysis of battery usage patterns and identified opportunities to reduce the number of idle batteries in the swapping stations. By implementing data-driven strategies, such as optimizing battery allocation algorithms and adjusting pricing plans, idle battery numbers were reduced by 25%, resulting in improved operational efficiency and cost savings.• Utilized statistical analysis on IOT data received from batteries to identify key factors influencing battery performance, such as temperature, charging patterns, and usage frequency. This analysis provided valuable insights for improving battery maintenance procedures, resulting in a 30% increase in battery lifespan and reducing maintenance costs.• Collaborated with cross-functional teams, Conducted market research and analyzed demographic and geographical data to identify potential target cities for new battery swapping stations. These insights facilitated informed decision-making and successful expansion into three new cities, contributing to a 40% increase in revenue.• Build data-driven fraud detection system that compares the data received from swapping stations with data received from IOT device and calculate the swap & revenue gap and help identify the possible dealers(swapping station) doing fraud in swaps and revenue.• Created comprehensive reports and data visualizations using Power BI to effectively communicate analysis findings and actionable insights to stakeholders.Analysis Tool:Python Library: Pandas, NumPy, Statistics, Matplotlib, SeabornExcel & Google SheetsPower BI & TableauData ModelingMySQLMachine Learning

Delhi, India

Key Responsibilities:• worked as an intern and gained better understanding of extracting data using SQL queries, cleaning, transforming data moreover finding actionable insights for organisation by doing explanatory indepth statical data analysis, building powerful dashboards on Power BI, forecasting based on past data.

Noida, Uttar Pradesh, India

Key responsibilities:• Responsible for Maintaining Functionality Of Website Both Front End Back EndMaintaining Database Of Company, Performing CRUD Operations on Data, Updating Website on regularly As Per Company Requirements.• Responding to Website Visitors Queries & Redirecting Them To Sales Professionals, Running & monitoring Facebook ads, doing search engine marketing, Writing Blogs for website, Keeping Track Of Users Activity/Action On Website, Collection Of Customers Data From Contact Forms And Providing To Business Development Managers.

Noida Area, India

Key responsibilities:• I Was Responsible For Fixing Glitches, Bugs Related To Newly Released Software/ProductsHelping Users With Their Technical Issues, Testing of New released Games Glitches, Handling Customer Queries Efficiently.• Providing Fixes To Their Technical Problems With Easy To Understand Troubleshooting Steps.

Bachelor Of Technology - Btech, Mechanical Engineering, A+ (8 Cgpa)

Higher Secondary Board, Science, 6 Cgpa