Data Analyst Seeking Any Role

JAYANTH CHOWDARY KOMMINENI

Data Analyst

New Jersey, United States 475-***-**** *********@*****.*** Open to relocate SUMMARY

Data Analyst with 6+ years of experience, specializing in Python, SQL, and AWS. Expertise in data analysis, visualization, and machine learning, with a strong focus on delivering actionable insights in financial services. Proficient in Tableau and other data visualization tools, with a solid background in cloud computing and big data technologies. Skilled in transforming complex data into clear, strategic insights to support business decisions and drive growth.

TECHNICAL SKILLS

Programming Languages: C, Python, R, SQL

Machine Learning: Regression, Classification, Decision Trees, Clustering, K-NN, Neural Networks, NLP, Dimensionality Reduction, Feature Engineering Data Visualization Tools: Tableau, Power BI, ggplot2, Plotly, Matplotlib Data Analysis & Modeling: Data Wrangling, Exploratory Data Analysis (EDA), Predictive Modeling, Hypothesis Testing,Statistical Modeling, Excel Database Management: SQL Server, MongoDB, Amazon Redshift, Google BigQuery Cloud Platforms: AWS (EC2, SNS, SQS, Redshift, S3, Athena, Glue) IDES: Visual Studio Code, Jupyter Notebook, PyCharm. Version Control Tools: Git, GitHub, GitLab

WORK EXPERIENCE

Data Analyst Aug 2019 – Jul 2023

VIVID1, Hyderabad

• Created and managed accounting dashboards in Tableau, making financial data 30% easier for clients to understand.

• Analyzed and processed over 100,000 financial transactions each month for multiple clients.

• Used Python to automate data cleaning, cutting manual work by 50%.

• Wrote SQL queries to pull data from large databases with over 1 million records.

• Worked with a team of 5 to improve accounting features, leading to a 25% boost in client satisfaction. Data Analyst Jun 2017 - Jul 2019

Gysbox Teamworks, Hyderabad

• Monitored and improved ETL workflows in Informatica, handling 1 TB of data weekly to drive performance and innovation.

• Used AWS services (EC2, S3, Lambda) to create cloud-based solutions and optimize data storage and processing.

• Built and maintained real-time dashboards in Tableau and PowerBI, helping executives make data-driven decisions that boosted business value by 20%.

• Applied statistical models to analyze business data, providing insights that improved customer satisfaction by 15%.

• Created cloud-based data solutions using AWS, reducing costs by 25% and speeding up data processing by 35%.

• Analyzed data to identify trends and insights, leading to a 20% increase in customer satisfaction and 15% growth in sales.

• Worked with teams to turn business needs into technical specifications, improving data accuracy and reducing processing time by 35% through automation.

EDUCATION

Sacred Heart University, Connecticut Aug 2023 – Dec 2024 Masters in Computer Science, GPA: 3.35/4.0

ACEDEMIC PROJECTS

Digit Recognizer

• Developed and fine-tuned machine learning models for digit recognition on the MNIST dataset, achieving a high accuracy of 99.31%.

• Utilized Keras' ImageDataGenerator to apply data augmentation techniques, enhancing the dataset's diversity and improving model performance and generalization.

• Designed a robust model architecture with convolutional and pooling layers, optimizing it for multiclass classification and improving prediction accuracy.

• Employed the Adam optimizer and sparse categorical cross-entropy loss function to fine-tune hyperparameters and enhance the model’s efficiency and learning rate.

• Analyzed model outputs to identify trends and patterns, driving insights that improved model prediction capabilities and data processing speed.

• Collaborated with cross-functional teams to streamline data pipelines, ensuring efficient data handling and integration into production environments for real-time applications.

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