Intel Corporation

Business Intelligence Developer Intern• May 2022 – Jan 2023

• • Collaborated with internal stakeholders to analyse key business processes, and translated those insights into actionable metrics and reporting using Power BI to streamline operations.
• • Developed and implemented Power BI dashboards to support data-driven decision making for product managers. Utilized expert proficiency in DAX (Data Analysis Expressions) to create complex calculations, columns, and measures to enhance the functionality and usability of the dashboards. Resulting in improved product roadmaps and business plans.

Performics India

Associate Data Analyst• April 2021 - Present

• • Created dynamic data dashboards in PowerBI to synthesize quantitative and qualitative findings into actionable insights and presented to stakeholders.
• • Automated workflows to extract and transform data using Google Analytics API with Python resulting in reducing the manual effort by 80%.
• • Worked with Asia Pacific Team for improving their data collection strategies and user acquisition funnels.

Data Analyst• Sept 2019 – April 2021

• • Managed the web analytics tag implementation and support all analytical platform implementations (Google Tag Manager, Google Analytics 360 Suite, Google Big query, Facebook Business Manager).
• • Performed in-depth analysis of information from multiple data sources (web analytics data as well as external data) and provide significant insights into factors impacting online results.
• • Developed data collection strategies and visualization to support standard and ad-hoc reporting on KPIs that directly measure online campaigns, product, and conversion funnel performance.

Graphene Media

Data Analyst• Sept 2018 – Oct 2019

• • Implemented a speaker identification and recognition system leveraging Natural Language Processing (NLP) and Machine Learning algorithms. Performed sentiment analysis on text, deployed using FLASK API.
• • Built an automated ETL process to streamline marketing data pipeline which resulted a 70% reduction in turn-around time.
• • Ran SQL queries to assess, clean, validate and analyze large datasets to support email campaigns using Joins, Subqueries and CTEs.

Larsen & Toubro

Intern• Dec 2017 – Feb 2018

• • Implemented IoT applications using Texas Instruments microcontroller and Wi-Fi module.
• • Demonstrated MQTT protocol using Mosquitto broker and presented the complete case study at the end ofthe term.

Speaker Identification and Speech Recognition System

|Python – NLTK(Natural Language ToolKit) – Machine Learning Algorithms – Google Cloud Platform (GCP)|• Nov 2018 – Jan 2019

• • Designed and developed a system for a campaign necessary for a consumer goods client aiming for analysis on user behavior over PAN India.
• • Converted Speech-to-text leveraging Google Cloud Platform (GCP) supporting multiple languages.
• • Performed Sentiment analysts on the text to derive insights on the feedback of the products.

GitHub Page

Image Processing based tracking and surveillance system

|Python – OpenCV – MATLAB – Deep Learning Algorithms|• Jan 2018 – Apr 2018

• • Designed and implemented a continuous human tracking system based on Machine Learning algorithms and Image processing techniques.
• • Constructed customized dataset for training of the system and presented the whole trajectory using Python and MATLAB.

GitHub Page