About Me
Currently a Senior Analyst - Data Science & Analytics @Accenture Applied AI. My work mostly revolves around Analyzing(generating insights), processing, Predicting/ forecasting on/through Client's data. I have done PGP in Data Science from Praxis Business School. My passion for Data Analytics grew stronger when I was working as Asst. Product Manager and few of my many objectives was to generate insight from data. It is really enticing to see how critical information a simple data can hold. My internship experience at larger institutions, including BFSI, HIL has provided me with Soft and technical skills that work for companies of any size. A world-class education at both BIT(Mesra) and IM(BHU,Varanasi) has equipped me with skills which can enable me in providing Impactful Business Insights. I can help by leveraging my analytical skills to provide insights from data.
- Name: Satyam Rastogi
- Linkedin: rastogisatyam
- Phone: +91 9990002304
- City: Bengaluru, Karnataka
- Work Ex: 3.2 years (approx).
- Degree: M.B.A + PGP in Data Science
- Email: satyamrastogi@hotmail.com
My Resume
A little About Me
Professional Experience
Senior Analyst
Jan'22 - Till Now
Accenture - Data Science & Analytics, Bengaluru
- Understanding Client's Requirement
- Converting Business Porblem into Analytical solutions
- Applying EDA, ML,NLP to model predictions and forecasting solutions
Business Analyst ( formely Bridgei2i)
June'21 - Dec'21
Accenture - Data Science & Analytics
- Understanding Client's Requirement
- Converting Business Porblem into Analytical solutions
- Applying EDA, ML,NLP to model predictions and forecasting solutions
Business Analyst Intern( formely Bridgei2i)
Jan'21 - June'21
Accenture - Data Science & Analytics
- Understanding Client's Requirement
- Converting Business Porblem into Analytical solutions
- Applying EDA, ML,NLP to model predictions and forecasting solutions
Relationship Manager
july'19 - Dec'19
Yes Bank Ltd., New Delhi
- Revenue Generation
- Relationship Management
- Credit Appraisal
- Documentation & Compliance
- Team Handling
Cluster Sales Manager
Aug'18 - July'19
Ujjivan Small Finance Bank Ltd., New Delhi
- Revenue Generation
- Relationship Management
- Credit Appraisal
- Documentation & Compliance
- Team Handling
Asst. Product Manager
May'17 - Aug'18
Ujjivan Small Finance Bank Ltd., Noida
- MIS Reporting
- Support new product launches by:-
- - Training content
- - Branch Meetings with customers
- Devising Marketing and incentive plans
- Initial monitoring of product uptake
- Multi- task for various stakeholder management
- Lead the solutions for Various process related problems
Education
Post Graduate Certification in Data Science
Jan'20 - Dec'20
Praxis Business School, Bengaluru, Karnataka
Marks - 77%
M.B.A. (International Business)
2015 - 2017
Institute of Management, B.H.U, Varanasi, U.P
Marks - 73.6%
B.B.A (Marketing)
2010-2013
Birla Institute of technology, Mesra
Marks - 78.8%
12th
2010
S.J.S. Public School, Raebareli, U.P
Marks - 69%
10th
2008
Chinamaya Vidyalaya, Unchahar, U.P
Marks - 83.2%
My Projects
Few Projects From My Repository
Social Media Data Analytics
Tools: Python | NLTK
- Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr.
- Process the collected data - primarily structured
- using methods involving correlation, regression , and classification to derive insights about the sources and people who generated that data.
- Analyze unstructured data - primarily textual comments - for sentiments expressed in them.
- Use different tools for collecting, analyzing, and exploring social media data for research and development purposes.
Unsupervised Machine Learning for Customer Market Segmentation,
Tools: Microsoft Azure
Understand how to leverage the power of machine learning to transform marketing departments and perform customer segmentation
Approach:
Phase I: Understand the problem statement and business case,Visualize and explore datasets
Phase II : Implementation of Machine learning Models like K-means clustering.
Phase III : Apply Principal Component Analysis (PCA) technique to perform dimensionality reduction and data visualization
KC House Price Prediction
Tools: Python | Tableau
Business Problem: To Find best suitable variables and predict house prices, located in King County, USA
Approach:
Phase I: Performed Exploratory Data Analysis,Missing value and Outlier Treatment and Anamoly Detection
Phase II : Implementation of Machine learning Models like Linear regression, Regression tree, KNN algorithm.
Phase III : Finding the best model based on cross-validation techniques and Creation of the Dashboard for Visual Data Exploration.
Deploying Recommender Systems
Tools:Flask | Django | Dash
Implementing Recommender Systems
Deploying recommendation System
Extra Curricular Activities
Something that keeps me going!
Contact Me
If you need a Data Story Teller!!!!
Social Profiles
Email Me
satyamrastogi@hotmail.com
Call Me
+91 9990002304