Data Analyst/Data Scientist
Resume:
Manoj Mukkamala
****************@*****.*** LinkedIn: https://linkedin.com/in/manojmukkamala Profile Summary
• Masters candidate in Management Information Systems with 3 years of work experience in Information Technology.
• Aiming to solve real-world problems in a wide array of industries using Data Science and Machine Learning.
• Seasoned and diligent data analytics professional looking for Full Time positions in Data Science and Machine Learning.
• Certified Data Science Associate (EMCDSA) and Certified Academic Associate in Data Science and Big Data Analytics.
• Proficient in data analytics lifecycle and possess good experience in performing big data analytics.
• Adept at building & deploying machine learning models as well as validating and improving the model’s accuracy.
• Competent in creating machine learning pipelines, feature engineering and model selection using MATLAB, R and Python.
• Team player with good technical and analytical abilities as well as strong verbal and written communication skills. Education
• MS in Management Information Systems, Northern Illinois University, IL (GPA – 4.0/4.0) Jan’16 – Dec’17
• BE in Electrical and Electronics Engineering, K L University, India Aug’10 – Jun’14 Technical Skills
• Programming R, Python, MATLAB, Octave, SAS Studio, C, ASP.NET, HTML, Tableau
• Databases Microsoft SQL Server, MySQL, MongoDB
• Operating Systems Windows, macOS, Android
• Machine Learning Algorithms Regression, Classification, Association, Clustering, Neural Networks
• IT Lotus Notes, ITSM, SAP MM, SAP SD, SAP PP, MS Office Suite, Microsoft Project, Visio Professional Experience
Graduate Assistant, Northern Illinois University Aug’16 – Dec’17
• Aided professor with his research in statistical modelling by performing data analysis and data visualization using R.
• Worked extensively with large synthetic datasets, conducted significance tests using MS Excel and reported the insights.
• Evaluated and Summarized results from Monte Carlo Simulation for Mediation testing in finding influence among variables.
• Compared simulation data results with varying sample & effect sizes and created visualizations for the obtained results.
• Built databases for business models using SQL server and created queries for academic lecture and assessment purposes.
• Assisted graduate and undergraduate students with issues pertaining to database access, queries and database concepts. Associate Software Engineer, Accenture Sep’14 – Dec’15 Client: Caltex, Australia
• Worked on analyzing the client gas station data to identify anomalous POS systems and to detect outliers using MS Excel.
• Handled POS Support and ensured timely resolution of client’s enquiries according to agreed Service Level Agreements
• Created and updated the Master data pertains to gas and grocery stores, POS & Pin-Pad terminals in SAP production system
• Assisted service delivery analyst team in preparing insightful reports and creating visualizations on KPI of the business unit.
• Responsible for timely communication, collaboration and coordination among various onshore and offshore teams.
• Experienced in attending project review meetings with clients, gathering requirements and knowledge from the client and creating Subject Understanding Documents (SUD) for the business. Provided On-call support to cater the business needs. Certifications
• Data Science Associate (EMCDSA) by DELL EMC (License: RBD0ZBVRLBV41L3X)
• Machine Learning by Stanford University (License: D6J9M7HT4JP8)
• Introduction to Analytics in SQL by Team Leada (License: bdbd15ceecf91dbbb1f928ed3d893b6e)
• EMC Academic Associate (License: TH26C0X6DB41Q1WS)
• SAP Certified Associate in Business Process Integration with SAP ERP 6.0 EhP6 (License: 001*******)
• Tableau 10 A-Z: Hands-On Tableau Training for Data Science
• Machine Learning A-Z: Hands-On Python & R in Data Science Academic Projects
Applied Statistics: Airline Analytics
• Developed various statistical models to find the factors that influenced Airline Delays, Cancellations and Diversions.
• Performed data inspection, data cleansing and data aggregation on big dataset using Microsoft SQL Server and R Studio.
• Created deep and insightful visualizations using Tableau & SAS Studio as part of data exploration and analyst presentation.
• Conducted Correlation Analysis, Regression Analysis, Chi Square Tests & ANOVA using SAS Studio and R.
• Had the opportunity to try and test different statistical models using the statistical packages available in R. Predictive Analytics: Diabetic Patients Readmission Prediction
• Worked on dataset from UCI Machine Learning repository to analyze the relationship between diabetes patient readmission and the various patient attributes by following the data analytics lifecycle methodology.
• Performed extensive data exploration and data cleansing using MS Excel and R and created visualizations using Tableau.
• Predicted the odds of patient readmission by developing Naïve Bayesian classifier and Logistic Regression models using R.
• Computed the accuracy of the classifier models by building the confusion matrix. Text Analytics: Spam Identification
• Developed text analytics pipeline combining tokenization, case conversion, stop word removal, bigrams and word stemming.
• Created a document frequency matrix using quanteda package in R, developed a bag of words model and performed Term frequency & Inverse Document frequency.
• Built text analytics model using Decision trees and R-part algorithm to classify a text message as spam/ham using R.
• Performed Singular Value Decomposition to reduce dimensions for Latent Semantic Analysis using irlba package in R.
• Studied the significance of probabilistic topic models like Probabilistic Latent Semantic Analysis & Latent Dirichlet Allocation. Database Creation & Management: My Home
• Created database from scratch for a fictional construction company called “my Home”.
• Prepared a concise business description and developed an Entity Relation (ER) model by properly identifying all the entities and the associated relationships among them. Performed normalizations and ensured integrity constraints.
• Leveraged Microsoft SQL Server to create database tables and imported data from Microsoft Excel into the database tables.
• Developed and executed complex queries and stored procedures to ensure database consistency. Recommender Systems: Movie Recommendation
• Built a recommender system for movies by predicting the movie ratings for the movies that users have not yet rated. This will allow us to recommend the movies with the highest predicted ratings to the user.
• Developed a collaborative filtering cost function and collaborative filtering gradient using MATLAB and then implemented regularization to avoid overfitting.
• Trained the collaborative filtering learning algorithm over a dataset of movie ratings. Achievements
• Played a crucial role in the team of being the sole offshore member working remotely and ensuring 100% delivery and communication with client business managers and business analysts.
• Achieved Outperformer award for focusing on delivery excellence and critical thinking at Accenture.
• Received Graduate Assistantship opportunity for exhibiting academic excellence at Northern Illinois University.
• Honored with Business Enterprise Computing scholarship in recognition of outstanding scholastic achievement at Northern Illinois University OM&IS.
• Beta Gamma Sigma international academic honor society membership, Northern Illinois University chapter.
• Achieved Best Student Contribution award for process optimization at Steel Exchange India Limited, India. Leadership & Volunteer Activities
Offshore Lead - POS Support Team, Accenture
• Successfully led offshore POS Support team, equipped new joiners through knowledge transfer sessions. Event Coordinator – Great Place to Work Team, Accenture
• Voluntarily worked as Event coordinator at Accenture, assisting leads in organizing social events upon client visits. Graduate Assistant, Northern Illinois University College of Business
• Mentored graduate and undergraduate students with Database systems and System Analysis & Design coursework. Project Lead, Northern Illinois University College of Business
• Effectively lead two academic projects, ensured optimal utilization of time and resources in the success of the projects.
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