Social Media Digital Marketing

Ramanjaneyulu T (Data Scientist)

Mobile: +91-879******* LIG-330, Roadno-3, KPHB, Hyd-500072

Email: ********@*****.*** Linkedin:ramanjaneyulu-thanniru-3a30a413b/

Github: https://github.com/Ram04420 Kaggle: https://www.kaggle.com/ram420

Young, energetic and Professional offering more than 4 years of experience with 3 years 2 months of experience in Data Science and 1 year 2 months experience in the field of Stock Market Domain & worked as freelancer on Digital Marketing Domain(Google analytics, Promotions, Social Media Ads, etc.)

Working knowledge in different domain Project like e-commerce, Retail Domain etc

Extended good knowledge in analyzing the Data, generating insights as per standard operating procedure and departmental guidelines

Machine Learning and Deep Learning Enthusiast with Good Knowledge in Machine learning algorithm (Linear Regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Clustering and Principal Component Analysis), Deep Learning (Artificial Neural Networks and Convolution Neural Network) and Sentiment Analysis.

Machine learning(Supervised and Unsupervised)

Deep Learning(ANN, CNN & LSTM)

Data Cleaning and Visualization

Model Building and Validation

Time Series Analysis, Forecasting

Good Knowledge at Python

Customer Lifetime Value

Recommendation System

Good Knowledge in Statistics

BI Tools (Tableau)

Marketing Campaign, Ad – hoc Report

Customer Churn and Segmentation

Domain: Retail Domain Dec2018 –Nov2019

Data Scientist

Project Description:

Working for the fastest leading online grocery shop in India. This project contains understand the business problem, design, developed and deployed various statistical and predictive model. Also prepared Ad-hoc report, Marketing campaign report and created dashboard based on client requirement.

Tools: S, Python, Machine Learning, Tableau, Advanced Excel

Contribution:

Repeat Propensity Model development and Validation: Build Repeat propensity probabilistic model by using different pre-processing, feature engineering and machine learning algorithm to predict their chance to repeat in 30 days. Deployed the model and continues monitor the model performance.

Segmentation and Customer Lifetime Value development: Segmented the whole customer profile based on their RFM value by using clustering technique and decision tree. Prepare data and deliver different report and marketing campaign report.

Dashboard and Ad-Hoc Report: Prepare ETL Script and automate them to refresh monthly data for Dashboard creation and monthly updating and Understand stakeholder need and Prepare Multiple Ad-hoc report based upon client requirement to take insight about business help then to take decision.

Domain: E-Commerce Aug 2017 – Nov2018

Data Scientist

Project Description:

This project builds for the one the fast growing E-commerce client. Job included understand, design, deployment of the predictive model on the customer review data. Prepare data, Ad-hoc report and various Dashboards as per the client requirement.

Tools: Python, Natural Language Processing(NLTK & SPACY )&Deep learning algorithms

Contribution:

Sentiment Analysis and Topic Modelling: Understand the problem and developed the Topic Modelling using Latent Dirichlet Allocation and Sentiment Analysis on the customer review data. Firstly performed unsupervised sentiment analysis using Vader Sentiment and generate label and then build classification model using various NLP and supervised ML algorithm . Automate script, monitor performance and deliver the report to various stakeholders.

Dashboard and Ad-Hoc Report: Prepare ETL Script and automate them to refresh monthly data for Dashboard creation and monthly updating and Understand stakeholder need and Prepare Multiple Ad-hoc report based upon client requirement to take insight about business help then to take decision.

Education:

B.Tech. (Electronics & Communication Engineering) from TKR engineering College, JNTUH University, Hyderabad in 2017 with 68%.

Intermediate (MPC) from Sri Venkateswar junior college, from Konda Mallepally, Nalgonda (Dist) in 2012 with 60%.

SSC form Pragathi High School, from PA.Pally, Nalgonda (Dist) in 2010 with 90%.

Hobbies:

Reading Books, Learning New Skills, Playing Cricket, Swimming, Listening Old Songs & Google Podcast.

PROFILE SUMMERY

PROFESSIONAL EXPERIENCE

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