Sahithi D Email & Phone Number

Alpharetta, Georgia, United States

Plano, TX

• Leveraged advanced complex SQL querying techniques and ETL to extract, collect, aggregate and analyze datafrom multiple sources, complex and large datasets, databases, including telco domain data.
• Implemented data pre-processing, data cleaning, data wrangling, data profiling, data mapping, data validation,data manipulation, data analysis techniques, including handling missing data, applying transformations.
• Conducted exploratory data analysis and feature engineering for pattern recognition, for correlating similar datawithin large datasets and to extract valuable insights, using Python, R and libraries like NumPy, Pandas.
• Managed and executed algorithmic processes critical to digital and financial operations, such as credit riskassessment models, economic models, fraud detection algorithms, and customer segmentation strategies.
• Performed statistical analysis of structured and unstructured data using descriptive and inferential quantitativemethods, like Hypothesis testing, A/B testing, ANOVA, Chi-square tests, to gain insights and uncover.
• Collaborated with cross-functional teams to develop specifications and implement AIML, machine learningalgorithms like logistic regression, clustering, Naive Bayes, Random Forest, Decision Trees, CNN, Neural Nets.

Addison, Texas, United States

• Played a pivotal role in all phases of data lifecycle, Data Mining, Data Collection, Data Cleaning, DataManagement, Model Development, Validation, Visualization and Performed Gap Analysis
• Spearheaded the development of PySpark Applications by using python and Implemented Apache PySpark dataprocessing project to handle data from various RDBMS and Streaming sources.
• Handled importing of data from various data sources, performed data control checks using PySpark and loadeddata into HDFS (Hadoop Distributed File System).
• Led the establishment of CI/CD pipelines, utilizing GitHub for version control and granting our team full ownershipof the environment, ranging from infrastructure provisioning to repository maintenance and access.
• Took charge of Continuous Integration (CI) and Continuous Delivery (CD) process implementation from Dev to=> staging to => Production systems
• Skillfully managed and orchestrated containerized applications and models using Kubernetes, ensuring optimalresource allocation and scalability for data science projects.

• Developed NLP models for Topic Extraction (Unsupervised learning) to predict why customers call the client byusing algorithms like Text Rank, RAKE, LDA, NMF, GLDA, and Sentiment Analysis, using python.
• Worked on data cleaning to ensure data quality, consistency, and integrity using Pandas, PyTorch and NumPy.
• Models were developed both in R and Python in conjugation because we used open scoring Standards-based,Open-source Middleware for Predictive Analytics Applications. R was used to convert all the models into PMMLformat.
• Constructed a semantic layer for a proposed data lake by studying existing data sources and leveraging theconcepts of exploratory data analysis and entity relationship diagram using Erwin Data Modeler.
• Participated in ad-hoc Teradata SQL queries to pull transactional data from the Teradata warehouse and matchedthem to all digital touchpoints from big data to move it to a data lake.
• Expertly leveraged Airflow to automate and orchestrate data processing tasks, enabling focused efforts on high-impact data analysis and modeling.

Bachelor Of Technology - Btech

Master Of Science - Ms, Data Science