Priyanka Akula

I'm

About

Hello, my name is Priyanka Akula, and I am a master's student at San Jose State University focused on Data Analytics. With over four years of experience as a Data Science Analyst at Coforge Ltd and as a Data Analyst Intern at Smart Bridge, I have honed my skills in analyzing complex datasets and creating impactful data visualizations. My expertise includes working with tools such as Python, SQL, Power BI, and Tableau, as well as leveraging machine learning techniques to drive actionable insights and improve decision-making processes. I have a strong background in utilizing Generative AI and AutoML to enhance data-driven strategies. I am highly motivated and currently seeking opportunities in Data Science, Data Analysis, and Business Intelligence.

Data Analyst & Data Scientist.

Aspiring Data Analyst, Data Scientist, or Software Engineer with a strong background in Data Analytics and Computer Science, boasting over four years of dedicated experience as a committed IT professional. Proven expertise in developing and deploying complex data models, recommendation systems, and advanced machine learning solutions, with a particular focus on Large Language Models (LLMs), Generative AI, AutoML, and Data Analytics. Adept at extracting, transforming, and analyzing large datasets to generate actionable insights and drive strategic decision-making. Proficient across all stages of the software development lifecycle, and constantly motivated to learn new technologies.

  • Birthday: 8 Oct 1998
  • Website: priyankaakula.com
  • Phone: +(XXX) XXX-XX01
  • City: San Jose,California, USA

I am naturally intuitive and passionate about innovation and the pursuit of new knowledge. I tackle problems with enthusiasm and resolve them quickly and effectively. I am highly efficient, ensuring that my time is well-spent and that my work consistently delivers positive, impactful results.

Skills

Programming Languages & Databases:
Python, R, Java, JavaScript, SQL, Oracle, MongoDB, MySQL, TSDB, DynamoDB, PostgreSQL, NoSQL, Neo4j, Databricks.

Machine Learning Frameworks:
TensorFlow, TFLite, PyTorch, Caffe, Keras, NumPy, Pandas, OpenCV, Amazon SageMaker, Transformers, NLP, RASA, scikit-learn, Google Cloud Vision API, Generative AI, Large Language Models (LLMs), and AutoML (automated machine learning) .

Data Analysis Tools:
Power BI, Tableau, Cognos, Apache Spark, Airflow, Pentaho, Excel, DAX, Shapely, Infogram, Fusion charts.

Software Development Methodologies:
Agile, SCRUM, CRISP-DM, Waterfall

Tools & Frameworks:
AWS(Glue, Lambda, Redshift), GCP(BigQuery), Snowflake, Django, Git, JIRA, Visual Studio, Azure Data Factory, Jenkins,Trello, Elastic Search, Redis, Flask, CSS, HTML, Hadoop, Docker, Spark, Kafka, Kubernetes

Tableau 100%
Python 85%
SQL 90%
Power BI 90%
AWS 75%
Generative AI 75%

Resume

My professional goal is to enhance my technical skills and develop innovative technological solutions that positively impact society.

Summary

Priyanka Akula

Detail-oriented and results-driven Data Analyst with over four years of hands-on experience in collecting, analyzing, and interpreting complex datasets to support data-driven decision-making. Expert in data cleaning, transformation, and visualization, utilizing tools such as Python, SQL, Tableau, and Excel. Skilled at converting technical findings into actionable insights and providing strategic recommendations for both technical and non-technical stakeholders. Possesses excellent communication, interpersonal, and analytical abilities, with a proven track record of performing effectively both independently and as part of a team.

Education

Master of Science, Data Analytics

Jan 2023 -Dec 2024

San Jose State University, San Jose, CA

Relevant coursework: Data Visualization, Mathematical Methods for Data Analytics, Data Base System for Analytics, Machine Learning Technology, Big Data Tech & App, Data Analyst Process, Deep Learning, Data Mining.

Student Assistant: Guided students through complex data concepts by creating and delivering in-depth tutorials on word embeddings using R and Python, elevated overall course comprehension and student performance by 30%.

Bachelor of Science, Computer Science

Aug 2016 - Mar 2020

Mahatma Gandhi Institute of Technology, Hyderabad, Telangana,India

Relevant coursework :Data Structures,Python Programming, Object Oriented Programming(OOP), Operating Systems, Database Management Systems, Computer Networks,Reinforcement Learning, Artificial Neural network,Machine Learning,Python Programming Language,Internt of Things.

Professional Experience

Coforge Ltd

Data Science Analyst

Oct 2019 - Dec 2022
  • Implemented complex data models and algorithms using software design principles and performed data analysis with SQL, Python,and Excel to identify key opportunities, increasing efficiency by 20% and operational efficiency by 15%.
  • Enhanced model precision by 15% and cut training duration by 20 hours per week using feature selection and hyperparameter tuning, improved data throughput by 60% and reduced operational expenses by 20% through AWS.
  • Integrated Natural Language Processing models into ticketing systems using NLTK and spaCy to automatically extract key information from user queries, reducing manual intervention by 35%.
  • Analyzed data from 60+ sources, including web traffic and mobile app usage, and designed Power BI visualizations, improving targeted marketing strategies and customer engagement by 30%.
  • Leveraged Python’s advanced data visualization libraries (Seaborn, Matplotlib) and data science tools (NumPy, Pandas), achieving a 20% increase in stakeholder data interpretability and actionable insights.
  • Architected and managed scalable ETL workflows utilizing Azure Data Factory, consolidating data from systems, and achieving a 45% enhancement in data quality and a 25% boost in processing efficiency.
  • Pinpointed key satisfaction drivers through detailed customer feedback analysis; employed SQL for data validation, cleaning, and transformation, leading 10+ teams to design Tableau KPI dashboards, reducing churn rate by 20%.
  • Innovated financial reporting workflows with Excel macros, cutting processing time by 55% and enhancing data accuracy by 40%, leading to more efficient financial analysis.
  • Executed Agile ServiceNow initiatives, employing PL/SQL and Python to refine ticket tracking, achieving a 38% reduction in incident resolution time and fostering better QA collaboration through comprehensive data analysis.
  • Conducted A/B testing on the company website to optimize user experience, resulting in a 10% increase in conversion rate.
  • Automated backend job scheduling and execution on Hadoop using Control-M, leading to a 40% reduction in manual tasks and ensuring timely and accurate report generation to cross-functional teams.
  • Partnered with the Pega marketing team to analyze campaign data utilizing Cognos , identifying opportunities to optimize ad spend and increase ROI by 25%.

Internship

Smart Bridge

Data Analyst Intern

Apr 2019 - Aug 2019
  • Developed and fine-tuned advanced data models and interactive dashboards within Microsoft Power BI, leveraging complex SQL queries, which boosted report usability by 35% and improved business intelligence for cross-functional teams.
  • Orchestrated and optimized scalable Python data pipelines, increasing data extraction and aggregation efficiency by 15%, enhancing strategic decision-making and process improvement.
  • Transformed raw supply chain data into actionable insights with Tableau elevating customer trend prediction accuracy by 15%.
  • Established data preprocessing frameworks with Pandas and Scikit-Learn, integrating datasets from 10+ sources, enhancing data quality by 35% and reducing preprocessing time by 50%.

Mentor Mind

Data Analyst Intern

Jan 2018 - June 2018
  • Developed and optimized scalable Python data pipelines, increasing data extraction and aggregation efficiency by 15%, enhancing strategic decision-making.
  • Spearheaded real-time Power BI dashboards, streamlining data interpretation and reducing manual analysis by 60%, enhancing operational efficiency.
  • Wrote SQL procedures to extract bulk customer data, performed data analysis, and grouped the data based on certain KPI’s.

Projects

I have undertaken a diverse range of projects, focusing on developing practical solutions throughout my academic and professional career.

Network-Slicing-Recognition

Bank Loan Status prediction using ML Techniques

Identification of Diabetic Retinopathy

Impact of Charging Stations on EV Sales

Heart Disease Prediction

Demographic-Enhanced Movie Recommender for Personalized Book Suggestions

Drowsiness Detection in Automobile Drivers

Testimonials

Priyanka Akula is an exceptional data science analyst with 3+ years of corporate experience. She has demonstrated a profound ability to analyze complex datasets, derive actionable insights while working at Coforge that drive business growth. Her expertise in data analysis, and data visualization has consistently led to innovative solutions and improved decision-making processes. Known for her analytical acumen and collaborative spirit, She is a valuable asset to any team, continuously contributing to the advancement of data-driven strategies.

Smrutiranjan Pradhan

Architect

Contact

Address

San Jose, CA, 95110

Call Me

+1 (XXX)-XXX-XX01

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