Summary
Overview
Work History
Education
Skills
Websites
Projects
Certification
Timeline
Generic

Sushma Yadlapalli

Wichita,KS

Summary

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Analyst

co-op cheylev
Boston, MA
03.2023 - Current
  • Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
  • Improved decision-making processes with accurate data analysis and visualization techniques.
  • Used statistical methods to analyze data and generate useful business reports.
  • Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
  • Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
  • Developed and maintained data pipelines for seamless flow of information, ensuring timely availability for decision-making.

Data Analyst

LBK Softtech
04.2021 - 11.2021
  • Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
  • Produced monthly reports using advanced Excel spreadsheet functions.
  • Utilized data visualization tools to effectively communicate business insights.
  • Used statistical methods to analyze data and generate useful business reports.
  • Managed large-scale databases to ensure timely access to critical information for key stakeholders.
  • Implemented robust control measures to improve analytical output reliability.
  • Streamlined reporting processes, resulting in faster turnaround times for monthly performance reports.
  • Reduced data redundancy with effective data modeling, ensuring optimal use of storage resources.

Data Analyst Intern

LBK Softtech
03.2020 - 03.2021
  • Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
  • Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.
  • Converted raw datasets into meaningful formats by performing extensive pre-processing activities such as normalization and transformation.
  • Identified trends and patterns in complex datasets through exploratory data analysis, leading to actionable insights.
  • Applied machine learning algorithms to enhance analytical capabilities and uncover hidden patterns within the data.
  • Simplified complex data into understandable reports, aiding in stakeholder presentations and decision-making.
  • Leveraged machine learning algorithms to analyze large data sets, uncovering patterns that informed business decisions.

SQL Developer Intern

LBK Softtech
02.2019 - 02.2020
  • Contributed to the development of user-friendly applications by integrating databases with front-end systems.
  • Streamlined reporting processes by creating efficient SQL scripts for automated report generation.
  • Developed custom SQL functions and triggers to automate data processing tasks and improve overall efficiency.
  • Collaborated closely with business analysts to translate requirements into functional SQL queries that delivered accurate insights.
  • Collaborated with cross-functional teams to develop effective solutions for complex database issues.
  • Conducted thorough testing of SQL code, identifying bugs, and implementing fixes before deployment in production environments.

Education

Master of Science - Computer Science

Wichita State University
Wichita, KS
12.2023

Skills

  • Tableau
  • Microsoft Power BI
  • Tensorflow
  • CoreNLP
  • Jupyter Notebooks
  • PostgreSQL
  • MongoDB
  • Talend Studio
  • SnowFlake
  • Docker
  • Streamlit
  • Alteryx
  • Data Cleaning
  • SQL Databases
  • AWS
  • Natural Language Processing
  • Machine Learning
  • Data Analytics
  • Deep Learning
  • Deep Feature Synthesis
  • Hyperparameter Optimization
  • MS SQL Server
  • Office365
  • GitHub
  • NumPy
  • Pandas
  • Keras
  • NLTK
  • PyTorch
  • Seaborn
  • Scikit-learn
  • Data Visualization and Presentations
  • Data Analysis
  • Python Programming
  • Excel Functions
  • SQL
  • Data Modeling
  • ETL processes
  • Data Mining
  • Data Mapping
  • Data Science
  • Microsoft Access

Websites

Projects

I Language Processing Based Tool for Analysis of Media Articles on HIV, Python, Pandas, Web Scraping, NLTK, spaCy, Developed web scraping module in Python to extract Disease-related information from all the web media and newspapers for the last 10 years. Instituted an unsupervised classifier, sentiment analyzer, and dependency parser to categorize the disease articles on their types of effect. Performed temporal and regional analysis of the data extracted to analyze the progress and suggest modification in HIV eradication campaign H&M Fashion Recommendation System, Python, Data Mining, NLP, Feature Extraction, Deep Learning, Machine Learning, Developed a hybrid model to predict fashion choices for customer for 7 days using pervious purchases, seasonal predictions by combining an LSTM deep learning model and an ensemble method based on user heuristics. Provided a conclusion that deep learning models aren't always the solution and provided a real example of combining statistical/ml and deep models to achieve results according to use case Improvement of Deep Learning-Based Computational models in High Energy Physics, Tensorflow, Deep Learning Models, RNNs, Achieved approximate median significance score of 3.76 in the separation of tau tau decay of Higgs Boson from background. Formulated a new deep learning module for trigger and data acquisition to cope with the year 2023's 10 times LHC beam luminosity increase. Engaged in exploiting the use of RNNs as autoencoders for reducing the dimensionality of the feature space of the Hadronic Tau Lepton decays Data Pipeline and Reporting Automation, Python, Data pipelines, Data Ingestion, Spark, Kafka, AWS S3, Airflow, Slack, Deployed data pipelines with Spark and Kafka for batch and real-time ingestion into AWS S3 data lakes. Automated reporting via SQL scripts and Python Notebooks. Detected and fixed data discrepancies to ensure reporting quality. Provided pipeline support using Airflow, implementing Slack alerts and root cause analysis. Reduced downtime 20% to ensure uninterrupted data flow

Certification

  • SQL essential training - linkedin
  • Beginner PHP and my MYSQL - udemy

Timeline

Data Analyst

co-op cheylev
03.2023 - Current

Data Analyst

LBK Softtech
04.2021 - 11.2021

Data Analyst Intern

LBK Softtech
03.2020 - 03.2021

SQL Developer Intern

LBK Softtech
02.2019 - 02.2020

Master of Science - Computer Science

Wichita State University

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Sushma Yadlapalli