Taranjeet Kaur

Data Scientist

New Delhi, Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data visualization and business analytics.
Proficient in building interactive dashboards with Power BI.
Strong analytical skills with a focus on actionable insights.

Stackforce AI infers this person is a Data Analyst specializing in Marketing Analytics and Transportation Data Science.

Contact

Skills

Core Skills

Data SciencePredictive AnalysisData AnalyticsBusiness Intelligence

Other Skills

Data CleaningPredictive ModelingExploratory Data AnalysisTraffic AnalysisPythonSQLData VisualizationPower BIExcelPower QueryGitHubCanvaDAXCreative Problem SolvingData Storytelling

About

I’m a Data Analyst with a strong foundation in data visualization, business analytics, and performance tracking, passionate about turning raw data into clear, actionable insights that drive better decision-making. Coming from a non-technical background, I’ve built my expertise through hands-on projects and real-world problem solving—working extensively with Power BI, Excel, SQL, and Python to clean data, uncover trends, and present insights in a way that stakeholders can easily understand. I’ve designed end-to-end analytical dashboards across domains such as advertising performance, social media campaign analysis, sales analytics, and customer behavior, focusing on KPIs, ROI tracking, budget optimization, and strategic recommendations. My work emphasizes data accuracy, clarity of insights, and business relevance. 🔹 What I Bring Strong command of Power BI, DAX, Power Query, and advanced Excel Experience building multi-page, insight-driven dashboards with actionable recommendations Hands-on knowledge of data cleaning, transformation, and KPI development Ability to translate complex datasets into simple, business-ready insights Continuous learner with a strong focus on practical analytics applications I enjoy working on data that tells a story, and I’m especially interested in roles where analytics is used to optimize performance, improve strategy, and support data-driven decisions. 📌 Open to opportunities in Data Analytics and Business Analytics, where I can contribute my analytical skills, dashboard expertise, and problem-solving mindset to real business challenges.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Uber

mentornship

Jul 2025 – Sep 2025 · 2 mos · Delhi, India · Hybrid

Role & Responsibilities – Data Science Intern (Uber Traffic Analytics Project)
Collected and integrated historical traffic data with external variables such as time, location, weather, and holidays to support predictive analysis.
Performed data cleaning, preprocessing, and feature engineering to prepare high-quality datasets for modeling.
Conducted exploratory data analysis (EDA) to identify peak hours, congestion trends, and junction-level traffic patterns.
Built and evaluated predictive models (Linear Regression, Random Forest, XGBoost) to forecast traffic volumes at road junctions.
Assessed model performance using MAE, RMSE, and R² metrics to ensure accuracy and reliability.
Analyzed the business impact of traffic congestion on Uber’s ETAs, driver availability, surge pricing, and revenue.
Developed traffic-aware recommendations for peak-time operations, pricing strategies, and resource allocation.
Documented insights and results through a business report and Jupyter Notebook, translating technical analysis into actionable insights.

Data CleaningPredictive ModelingExploratory Data AnalysisTraffic AnalysisData SciencePredictive Analysis

Future interns

Data Analyst

Jun 2025 – Aug 2025 · 2 mos · Delhi, India · Hybrid

Role & Responsibilities – Data Analyst (Social Media Campaign Analytics Project)
Collected and analyzed real-world social media advertising data to evaluate campaign performance across multiple channels.
Performed data cleaning, transformation, and modeling using Power Query, Excel, and SQL to ensure accuracy and consistency.
Designed and developed a 3-page interactive Power BI dashboard to track KPIs such as ROI, cost per unit, conversions, and channel contribution.
Created DAX measures and calculated KPIs to enable dynamic filtering and comparative performance analysis.
Conducted exploratory data analysis (EDA) to identify top-performing channels, cost-efficient campaigns, and underperforming areas.
Delivered actionable insights and strategic recommendations for budget optimization and campaign improvement.
Built executive-ready visuals including ROI bar charts, donut charts, KPI cards, and detailed comparison tables.
Documented findings and enhanced presentation quality using Canva, ensuring clarity and business relevance.