Kranthi Kiran Jalakam

Visualized and analyzed animal rights across 67 countries utilizing various indicators such as meat consumption and recognition of animal sentience and suffering. Developed dashboards in Google Looker Studio and Tableau with similar functionality across both platforms.

Created a Power BI dashboard exploring a dataset consisting of transactions from various stores across the country. Looked into KPIs such as revenue, profit, best performing products and created extensive visualizations depicting various insights and trends.

Utilized Power BI to analyze a dataset consisting of survey responses of 600+ data professionals based on various factors such as salary, industry, transition into data and so on. Developed a comprehensive dashboard showcasing diverse trends and metrics concerning the data field.

Created a dashboard  on MS Excel to analyze and visualize bike sales from various regions based on diverse attributes such as income, occupation type and age group. Cleaned and transformed the dataset on Excel, while utilizing pivot tables for the visualizations.

Web Application on Python with Streamlit that can answer user questions based on documents (pdf and docx) uploaded to the application using LangChain and OpenAI. FAISS (Facebook AI Similarity Search) is used to store embeddings and search the embeddings to retrieve content based on the question being asked. docx2python and PyPDF2 are used for file text extraction.

Web Application on Python with Streamlit that can translate large amounts of text into concise and easily comprehensible points using LangChain and OpenAI. The summary can be translated into 200+ languages with deep-translator while text-to-speech can be generated for over 50 languages with gTTS.

Conducted in-depth COVID-19 data analysis, transforming raw data into insights using SQL and presented a dynamic Tableau dashboard. Highlights include visualizing hospitalization trends, global infection rates, and identifying countries with the highest fatality rates.

Dive into a year of personal Spotify data with my analysis and visualization project. From data cleanup using Excel Power Query and SQL to KPI extraction and a comprehensive Tableau dashboard, explore my listening habits, favorite songs, and playlists in a visual and engaging way.

Explore global economic trends with my Tableau dashboard project. Utilizing data from The World Bank, I've delved into key economic indicators like GDP Growth, Inflation, Unemployment rate, and Gini Index. 

Unlock the world of cinema with my movie dataset analysis project. Starting with data cleaning in Python, I transformed raw data into insights. Explore correlations between key attributes like votes, gross revenue, and budget through interactive scatter plots and heatmaps.

Dive into Nashville's housing market with my SQL-driven project. I've meticulously cleaned and explored housing data, applying various SQL techniques, including Common Table Expressions, Joins, and string manipulations. Uncover insights from data imputation and transformations in this project.

Explore Toronto's Airbnb landscape in 2023 through my insightful Tableau dashboard. Discover trends like listing density, neighborhood price variations, and seasonal demand shifts. My analysis empowers property listers, travelers, and anyone seeking market insights, making informed Airbnb decisions a breeze.