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Click here or scroll down to respond to this candidate Candidate's Name
EMAIL AVAILABLE | +1 (Street Address )528-3762 | https://LINKEDIN LINK AVAILABLESUMMARYResults-driven Data Engineer with 2.5years of experience in developing and optimizing ETL processes and data pipelines. Proficient in programming languages like Python and SQL, with expertise in big data technologies such as Hadoop. Detail-oriented problem-solver with a strong analytical mindset, dedicated to ensuring data accuracy and reliability. Seeking to leverage skills and expertise to contribute effectively to data-driven projects and foster innovative solutions.EDUCATIONUniversity of New Haven
Master of Science Business analytics
Concentration: General Statistics, Forecasting, Operations-GeneralSri Indu College of Engineering and Technology
Bachelor of Technology Electronics and Communication Engineering
Concentration: Electronics, Statistics, DSA, CommunicationWest Haven, CTMay 2024GPA: 3.72/4.0Hyderabad, IndiaMay 2021SKILLSPython, GCP, SQL, Unix, Power-Bi, R, ETL, Teradata, DataStage, Migration, data Visualization, Data Mining, Forecasting,XML, JSON, Scripting (Python, Bash), Object-Oriented Development, Database Queries, Adobe InDesign, SAP, SalesforceWORK EXPERIENCETata Consultancy Services
Data Engineer, Associate system Engineer
Indore, India Aug 2021 Jan 2023 Partnered with the warehouse management team to understand and fulfill space utilization requirements. Designed, implemented, and maintained large-scale ETL (Extract, Transform, Load) processes, ensuring efficient data flow and integration across multiple systems. Developed and maintained Python scripts for data extraction, transformation, and loading, enhancing data processing efficiency and accuracy. Leveraged Python libraries such as Pandas, NumPy, and SQL Alchemy to manipulate and analyze data. Optimized SQL queries for performance, reducing execution times and improving overall database efficiency. Analyzed large volumes of data to identify trends, gaps, and inconsistencies, providing actionable insights to stakeholders. Learned, utilized, and enhanced existing Oakleaf tools, including ETL software applications, data scraping tools, and damage calculation models. Applied advanced econometric techniques to develop practical solutions using SAS, SQL, and Python. Utilized SAS for statistical analysis and data mining to derive insights and recommendations aimed at improving business performance. Utilized SAS and Python to build and validate models, providing actionable insights for business optimization. Implemented advanced data mining techniques using SQL and SAS to extract meaningful insights from large datasets. Developed and deployed machine learning models using Python and R for tasks such as time-series forecasting, causal inference, regression, and clustering. Conducted comprehensive data analysis to extract actionable insights, enhancing business strategies and operations. Expertly queried cloud-hosted databases using SQL, optimizing data retrieval and ensuring efficient data management. Managed cloud-based data solutions with Databricks, S3, and Spark, maintaining high data integrity and performance. Applied advanced statistical techniques to analyze large datasets, identifying key trends and patterns that informed business decisions. Utilized statistical methods to validate machine learning models, ensuring their accuracy and robustness. Leveraged data visualization tools like Looker and Tableau to create insightful and interactive dashboards, facilitating data-driven decision-making. Engineered and maintained robust data pipelines, ensuring seamless data flow and processing across the organization. Applied strategic thinking and sound judgment to analyze complex problems, develop actionable insights, and drive continuous improvement initiatives.Cognizant Hyderabad, IndiaIntern May2020-July2021 Developed an ETL pipeline using Apache Airflow to extract, transform, and load data from multiple sources into a data warehouse. Implemented data cleansing and transformation scripts in Python. Improved data processing efficiency by 30%. Wrote complex SQL queries to extract, manipulate, and analyze large datasets from relational databases, supporting business intelligence and reporting needs. Optimized SQL queries for performance, reducing query execution times by 25% and enhancing overall database efficiency. Designed and implemented ETL pipelines using Python and SQL to integrate data from multiple sources into a centralized data warehouse. Ensured data quality and consistency during the ETL process by implementing data validation and error-handling routines in Python and SQL. Visualized results using Tableau, enhancing decision-making processes. Designed and implemented a star schema data warehouse for a healthcare provider. Loaded data using SQL and optimized database performance. Enabled comprehensive reporting and data analysis capabilities. Assisted in building and maintaining data pipelines using Python and SQL. Worked with senior data engineers to optimize data workflows and improve ETL processes. Conducted data quality checks and ensured data integrity.EXTRACURRICULAR ACTIVITIES OR VOLUNTEER/COMMUNITY SERVICE EXPERIENCEJawaharlal Nehru Technological University Hyderabad Hyderabad, India Led the Sponsorship Cell, securing vital partnerships and funds for events, demonstrating strong negotiation and relationship-building skills, significantly enhancing event quality and financial support. As Coordinator and Event Manager, expertly led college fest planning and execution, showcasing top-notch organizational, budgeting, and negotiation skills, leading to celebrated events that greatly enriched campus life.RELEVANT PROJECTUniversity of New Haven
STOCK PREDICTIONS
West Haven, CT Jan 2024 April 2024 Led a team in gathering and analyzing stock data using R, developing trading strategies, and presenting results through interactive dashboards in Power BI/Tableau.
Constructed and validated cashflow models for mortgage-backed securities, econometric and predictive models, and valuation models. Ensured the accuracy and reliability of models through rigorous testing and validation processes. Constructed and validated cashflow models for mortgage-backed securities, providing critical insights for investment decisions. Conducted statistical analysis to predict future cashflows and estimate potential damages. Developed econometric models to analyze and predict economic trends, supporting strategic business planning. Conducted regression analyses to identify key economic indicators and their impacts on business performance.SALES ANALYSIS USING POWER BI
Jan2023 - May 2023 In this project, Power BI was utilized to analyze sales data, employing SQL for data cleaning and DAX for query operations to create a dashboard showcasing trends, product performance across regions, and overall market dynamics.
The large dataset was transformed into visualizations, facilitating informed business decision-making. The project highlights the effectiveness of Power BI in presenting complex data insights to end users efficiently.HEART DISEASE CLASSIFIER
Jan 2023 - May 2023 A comparative study was conducted on the efficacy of various classifiers, including K-Nearest Neighbor (K-NN), Naive Bayes, Decision Tree, SVM, and Decision Table, in classifying heart disease (HD) cases using minimal attributes.
The study revealed that K-NN (K=1), Decision Tree, and SVM classifiers achieved high classification accuracies of 99.7073%, 98.0488%, and 97.2683% respectively. These results underscore the potential of these algorithms in accurately predicting HD cases, demonstrating their value in healthcare analytics.
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