Data Analytics Specialist with 4+ Years Experience

Education

Master of Science in Computer Science New Jersey Institute of Technology

Charitha Kammari

Data Analyst

Harrison, NJ 551-***-**** *************@*****.*** LinkedIn Summary

Data analyst with over 4+ years of experience driving data-driven decision-making by building predictive models, optimizing ETL pipelines, and automating workflows across cloud and big data platforms. Delivered actionable insights through advanced analytics, interactive dashboards, and A/B testing that improved forecasting accuracy, increased campaign engagement, and accelerated reporting efficiency. Skilled at collaborating with cross-functional teams in Agile environments to translate business needs into scalable analytics solutions, enabling strategic growth and operational optimization. Proficient in leveraging SQL, Python, and BI tools like Tableau and Power BI to unlock insights from diverse datasets. Adept at training teams and mentoring juniors to foster a culture of continuous improvement and data literacy. Skills

Programming languages: Python, R, Databricks, SQL, SSRS Data Analytics & BI Tools: Power BI, Tableau, RStudio, Advanced Excel (Power Query, PivotTables, Macros,VBA), Jupyter Notebook, Snowflake, Apache Airflow, DBT

Big Data & Cloud Technologies: AWS (S3, Redshift, Glue, Lambda), Azure, Google BigQuery, Hadoop, HDFS, Spark, Hive Databases: PostgreSQL, MS SQL Server, MySQL, Oracle, MongoDB Data Processing: Data Wrangling, ETL & ELT, Data Cleaning, Kafka (for real-time data streaming and ingestion) Analytics and Decision-Making: Risk & Decision Analysis, Analytical Skills, Hypothesis Testing, Regression Analysis, Classification Modeling, Statistical Inference, Time Series Analysis Methodologies: SDLC, Agile, Scrum

Experience

Data Analyst ACL Digital Sep 2024 – Present

• Built predictive models with Python and R to improve forecasting and segmentation, and refined SQL queries across SQL Server, Snowflake, and Teradata to speed reporting and workflows, enabling faster data-driven decisions.

• Built self-service dashboards in Tableau and Power BI by integrating AWS S3, Redshift, and SQL databases with Python, increasing report accessibility by 40%, saving reporting time, and enabling data-driven decision-making.

• Conducted comprehensive data cleaning, validation, and transformation using Python and Excel (pivot tables, advanced formulas), improving data quality, reporting efficiency, and accelerating anomaly detection.

• Led A/B testing design, analysis, and visualization with marketing and product teams using Tableau and Databricks, increasing test efficiency by 50%, boosting email campaign engagement, and raising conversion rates.

• Automated data workflows and ETL pipelines with Python, SQL, MongoDB, and AWS, improving ingestion efficiency, enabling real-time data access, and freeing up resources for deeper analysis and insights.

• Deployed CI/CD-enabled Python and PySpark scripts to capture weekly license updates, centralizing data in a Spark Data Lake integrated with Snowflake, Airflow, and Kafka, enhancing cross-team analytics capabilities by 40%.

• Optimized logistics, procurement, and cloud spend through targeted analytics in an Agile environment, while monitoring key metrics with dashboards and trained teams in advanced visualization to enhance decision-making. Data Analyst CueTech Systems Jan 2021 – Aug 2023

• Analyzed structured and unstructured data using Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn to perform Exploratory Data Analysis (EDA), data wrangling, statistical analysis, cohort analysis, and A/B testing.

• Led data governance and integrity initiatives to enhance data quality and reporting, using SSRS, Databricks, and Airflow for multivariate analysis and causal inference to identify trends, improve forecasting, and support business planning.

• Engineered scalable ETL pipelines using SQL, Python, and AWS Glue to integrate data from multiple sources (AWS S3, Redshift, Excel), significantly improving query execution speed by 50% and reducing manual reporting efforts.

• Built end-to-end interactive dashboards in Tableau and Power BI that integrated diverse data sources, accelerating decision-making for cross-functional stakeholders and executive management with real-time actionable insights.

• Developed, optimized, and automated complex SQL and HiveQL queries on SQL Server, Teradata, Snowflake, and Hadoop ecosystems (including Hive) to efficiently extract, transform, and load large-scale datasets.

• Gathered requirements and created BRDs/FRDs to deliver analytics and automation solutions, presenting insights that guided executive decisions on product, market, and retention strategies, driving measurable business impact.

• Collaborated with stakeholders to translate requirements into analytics and automation solutions, while mentoring junior analysts to boost team productivity and ensure high-quality deliverables, driving continuous improvement.

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