Data Analyst

Lavan Theja Jada

United States

+1-716-***-**** # ********@*******.*** ï linkedin.com/in/lavan-teja-jada Education

University at Buffalo August 2022 - Jan 2024

Masters in Data Science(CGPA of 3.5) Buffalo, New York MS Ramaiah University of Applied Sciences August 2017 - Jun 2021 Bachelor of Technology in Computer Science(CGPA of 3.8) India Experience

Beyond Exam May 2023 - Present

Data Analyst New Jersey, USA

• Conducted comprehensive data extraction, aggregation, and quality checks from diverse sources to support trend identification and root cause analysis.

• Designed and constructed an end-to-end ETL pipeline for AWS, GCP, and Azure cloud platforms’ resources cost usage data, streamlining data collection for data analysis.

• Gained practical experience in data mining by analyzing large and complex datasets, applying SQL and other data analysis tools to extract, clean, and interpret relevant data.

• Applied advanced analytics ML models, including EDA, feature engineering, normalization, clustering, segmentation, NLP, Neural Networks, and regression analysis, to unearth hidden patterns in data.

• Utilized SQL in BigQuery for advanced querying and analysis of large datasets, optimizing performance and efficiency in data processing tasks.

• Engaged in gathering product requirements and writing feature specification documents, facilitating clear communication and collaboration between product development teams and stakeholders.

• Developed an ML model to predict customer churn and identified key features contributing to customer attrition.

• Spearheaded development of a student Artificial Intelligence proctoring app and incorporated it into product roadmap. MTIET Jan 2021 - July 2022

Data Analyst Chittoor, India

• Utilized SQL, Python, and Looker to analyze business data, contributing to a 20 percent improvement in decision-making across various departments by identifying key patterns and insights.

• Crafted interactive dashboards using Tableau, empowering stakeholders to visualize and comprehend key performance indicators (KPIs) and contributing to an 18 percent improvement in data-driven decision-making.

• Led collaboration with cross-functional teams to determine data requirements, define metrics, and establish best practices, reducing data discrepancies by 15 percent.

• Engaged with stakeholders, and users in Voice of the Customer (VOC) requirements-gathering, fine-tuning, and feedback processes, resulting in a notable 15 percent increase in customer satisfaction.

• Conducted A/B testing for marketing campaigns, resulting in a 15percent increase in conversion rates.

• Utilized Excel advanced functions for ad-hoc reporting, improving report generation efficiency by 20 percent.

• Assisted in the preparation of comprehensive reports through in-depth analysis of data trends and patterns, contributing to a 12 percent increase in company performance metrics. Expertise and Achievements

• Utilized project management tools such as Jira, Confluence, Trello, Asana, Figma, Mixpanel, Notion, Product Board.

• Expert in data analysis tools including Power BI, Tableau, R, Python, SQL, Excel, Hadoop, Spark.

• Leveraged Pandas, Scikit-learn, PyTorch, Keras, Matplotlib, Plotly to enhance data analysis, model development.

• Created summary statistics, BI reports, and visualizations to communicate insights effectively.

• Experienced in advanced statistical tests and methods like predictive modeling, hypothesis testing, machine learning. Technical Skills

Java, SSRS, QLIK, HTML/CSS, JavaScript, VBA, Scala, PostgreSQL, ERP, G Suite, Notion, Scrum, PL/SQL, SAFE, Crystal Reports, REST APIs, Github, SSIS, Quicksight, Jupyter, Office, Finance, Pivot Tables, VLookups, AWS (EC2, Lambda, S3, RedShift, RDS), Agile, Linux, Access, Word, PowerPoint, BigQuery, Dataproc

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