Resume

1. Saketh Vadlamudi
706S Park Ave, Hinsdale, IL, 60521|+1(312)9829250|vadlasaketh@gmail.com
Seeking Entry Level Opportunities in Machine Learning/ Data Analysis role to fulfill my passion to
drive meaningful impact.
SKILLS:
Technical: Python, SQL, Scala, R, C++, Java and HTML
Tools : Tableau, Alteryx, Power BI, Microsoft Excel (V-lookups, Macros and Pivot Tables) ,VBA and Microsoft
Project
Libraries/Packages : Numpy , Pandas, Scipy, Scikit-Learn, Keras, Tensorflow, PyTorch, Beautiful Soup, Matplotlib,
ggplot, bokeh, Dtale and Seaborn.
IDE/Software : MySQL, Oracle SQL, Minitab, Jupyter Notebook, Databricks, Dataiku, Apache Spark, RStudio and
Git
MLOps Stack : Airflow, MLflow,Sagemaker, Jenkins, Gitlab, Docker and Kubernetes
Cloud Services: AWS (S3, EC2, Redshift) and Hadoop (HDFS, MapReduce and YARN)
Functional: Machine Learning, Predictive Modeling, Natural Language Processing, Exploratory Data
Analysis, AI Model Performance, Optimization, ERP Basics, Business Intelligence and Data Warehousing
Certifications: CCNA Routing and Switching , AWS Certified Solutions Architect – Associate and
EMC Academic Associate.
Industrial Training: Level 1 and Level 2 Industrial Automation
EDUCATION:
Master of Science in Computer Science | Texas A&M University 2018 - 2020
Major Courses : Machine Learning, Neural Networks,Database Management,DataStructures,AdvancedDatabases,
StatisticsforComputational Science andAnalysis,DataAnalysisandVisualization,BigData.
Bachelor of Technology in Computer Science | Manipal Institute of Technology 2013-2017
ACADEMIC PROJECTS:
Bank Loan Modeling Sep 2019 - Dec 2019
Built a Decision Tree Model that will help identify the potential customers who have a higher probability of
purchasing the loan leading to increase in success ratio at the same time reduce the cost of the campaign.
• Predicted potential customers who would buy the loan using Decision Trees.
• Performed statistical methods and feature engineering for feature reduction.
• Created a hybrid model using structured and unstructured data to improve the accuracy of the
prediction.
• Predicted that a longer phone call duration improved the chances of selling the loan.(fixed range)
• Achieved 80% accuracy after fine tuning the hyper parameters.

2. West Texas Intermediate – Crude Oil Price Prediction. Sep 2019 - Dec 2019
• Performed Time Series Analysis to demonstrate and predict the world crude oil price changes for WTI.
• Made the Time Series stationery and removed seasonality.
• Used ARIMA model
• Achieved a RMSE of 1.0535
US Twitter Airlines Sentiment Analysis using ULMFiT Mar 2019 - Jun 2019
• Applied ULMFiT model to Twitter US Airlines Sentiment data extracted from Kaggle.
• Pre-Trained the language model .
• Unfroze the model and fine-tuned it for better results.(reducing error by 12-16%)
• Built a text-classifier using the fine-tuned encoder.
Identifying League of Legends winner using Random Forest Jan 2019 - Apr 2019
• Developed a predictive model to determine the winner from a League of Legends database using the win/loss
information from RandomForest.
• Pre-processing done by comparing train data with winner column.
• Post processing done to determine MeanDecreaseAccuracy and MeanDecreaseGini.
• Classification rules set to predict the winner.
Application of Machine Learning Algorithms on Credit Classification Sep 2018 - Dec 2018
DesignedandDevelopedcreditscoringrule usingR that can be usedto determine if anew applicationisgoodcredit
risk or a bad credit risk, based on values for one or more of the predictor variables.
Tutoring Center Sep 2018 - Dec 2018
Built an Oracle SQL based database covering all the ER diagram relationships and following the normalization rules to
showcase the working of a small scale business.
EXPERIENCE:
Data and Machine Learning Engineer | Reynolds American Inc, USA Aug 2020 - Present
• Working on Revenue Growth Model (Price Elasticity, Trade Promotion, Consumer Segmentation).
• Built store clustering model using Hierarchical Clustering for the Assortment & Mix team.
• Built data pipelines to data lakes for new data sources and also data extractionsto data science solutions and reporting
tools.
• Building and scheduling reports for different business units using MicroStrategy and Tableau
• Driving the MLOps practice – MLFlow, Jenkins, Gitlab, Docker and Kubernetes
- Design and Automation of data pipelines
- Automating the training of model
- Setting metrics for model validation and monitoring
- Productionizing ML workflows
Data Analyst | SourceEzy Technology, Dubai
Feb 2017 - Aug 2018
• Helped clients find right vendors at the best price with highly Data/Analytics driven approach.
• Drove new waysof leveragingdatawithboth opensource (Python) andproprietarydata Insightsusing Beautiful Soup,
Numpy and Pandas.
• Implemented SQL scripts, stored procedures and triggers in MySQL server to handle user requests and work
with data in the database.
• Hands onexperience withall aspectsof datamanagement(e.g design,upgrades,backupandrecovery,trouble shooting
and problem resolution).
• Helped move to AWS cloud services , built and deployed models using Amazon SageMaker on EC2 servers.
• Helpeda clientwith5-15 % reductionincostsacross directand indirectspends,Automationof suppliernegotiationand
Increasing sourcing transparency for our clients using Machine Learning and E-Auctions.
• Ledseveral clientpresentationstoshowcase andbuildawarenessforwhatoursoftware cando and howit couldprovide
value.

3. • Building , publishing customized interactive reports and dashboards, report scheduling using Tableau server.
Information Technology Intern | Kuwait Steel, Kuwait
May 2015 - Aug 2015
• Spearheadeddevelopmentof anapplicationtomake deliverydivisionmore productivebyAutomatingdispatchschedule,
Loading sheet and Mill test certificate as per sales order.
• Gained insight into Level 1 and Level 2 Industrial Automation.
• Led the redesign of company website with better flow and ease of use.
ACHEIVEMENTS:
• Workedfor Teach for India ( 3 months) teachingmiddle school mathtogovernmentschool kids .
• PlayedCollege Level Football for3years.
• Duke of EdinburgSilverAward - TrekkinginManali for 4 days
• Graduate Assistant - TeachingCollege AlgebraandPre CalculustoFreshmenandSophomores.
Immigration Status :- Permanent Resident