Jiji Narayanan

Data Analyst with an Executive PG in Data Science from IIIT-Bangalore, specializing in Data Analysis and Business Intelligence. Proficient in Python, SQL, Tableau, and Power BI for exploratory data analysis, data wrangling, and visualization. Possesses a strong foundation in statistical analysis and machine learning models, including linear and logistic regression and time series forecasting, to support data-driven decision-making. Experienced in Advanced Excel, SAP, and reporting automation to enhance efficiency and generate actionable insights. Adept at problem-solving, stakeholder communication, and project management to drive business impact. Seeking an entry-level Data Analyst or Business Analyst role to apply analytical expertise in a dynamic environment.

• Title: RSVP Movies Case Study | Tech Stack: SQL  

Analyzed movie data using SQL (ERD, DDL, DML, Joins) to generate insights for RSVP. Provided recommendations to help create successful movies for a global audience.  

• Title: Bank Credit EDA | Tech Stack: Python, Pandas, Numpy, Jupyter Notebook  

Conducted exploratory data analysis to identify patterns in loan repayment behavior. Insights supported decisions on loan approvals, interest rates, and risk mitigation.  

• Title: Bike Sharing Linear Regression Assignment | Tech Stack: Python, Jupyter  Notebook  

Developed a Linear Regression model (R² = 0.8) to predict bike demand for ‘BoomBikes,’ aiding operations optimization during pandemic-induced revenue decline.  

• Title: Lead Scoring Case Study | Tech Stack: Python, Jupyter Notebook  

Built a predictive model (R² = 0.91) to help an online education platform identify potential enrollments and optimize lead conversion strategies.  • Title: Case Study on Airbnb-NYC | Tech Stack: Storytelling, Tableau, Python-EDA  

Analyzed NYC Airbnb listings, identifying patterns in pricing, occupancy, and customer preferences. Presented insights effectively using storytelling techniques in PPT.  

• Title: Recipe Recommender Assignment | Tech Stack: MySQL & Python  

Designed a recommendation system for 'food.com' users based on recipe preferences. Conducted EDA to uncover factors influencing successful and unsuccessful recipes.