PRIYAL DHARMAWAT
Toronto,Canada
Summary
Results-oriented Data Analyst with a Master's in Data Analytics and expertise in Python, R, SQL, and Excel. Proven ability to leverage machine learning and statistical analysis to extract valuable insights from complex datasets. Strong problem-solver with a collaborative mindset, eager to apply technical and analytical skills to drive data-driven decision-making and contribute to impactful projects.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Analyst
Capgemini
2020.09 - 2022.08
- Permanently resolved 25-30 critical production issues through in-depth analysis using SQL Server Management Studio (SSMS) and Excel, mitigating financial losses by 40-50%.
- Designed and implemented complex SQL queries, achieving a 25% increase in data processing speed and enhancing overall system performance.
- Performed comprehensive data cleaning, removing inconsistencies, and developed custom shell scripts in UNIX within the virtual desktop environment to ensure accurate data extraction.
- Successfully executed data migrations and facilitated monthly release deployments, minimizing disruptions to business operations and ensuring data continuity.
- Effectively implemented change management strategies using Jira, fostering collaboration among stakeholders and ensuring seamless integration of new processes and updates.
Machine Learning Engineer
Tribbianis Software Solution Private Limited
2019.05 - 2019.07
- Created a machine learning model for analyzing the sentiment of tweets in a live Twitter dataset automating 90% of manual sentiment classification tasks
- Implemented real-time sentiment analysis on live comments using Python and machine learning algorithms, displaying the sentiment and confidence of tweets in a dynamic graph using libraries such as Tweepy, Matplotlib, Scikit-learn, nltk, numpy, & pandas
- Engineered a custom script leveraging Twitter API to capture real-time tweets; automated data retrieval process, fetching over 5,000 tweets per day, increasing social media engagement by 40%.
Education
Master of Science - Data Analytics(Conc. Applied Machine Intelligence)
Northeastern University
03.2024
Bachelor of Science - Computer Engineering
Mukesh Patel School of Technology Management & Engineering
05.2020
Skills
Languages
- Python
- R
- SQL
- Core Java
Frameworks
- Jupyter
- Tableau
- Microsoft Excel
- SQL Server Management Studio
- Jira
- Oracle 11g
- Vertex AI
- Android Studio
Technical Skills
- Data Visualization and Presentations
- Linux Server
- Trend Data and Time Series Analysis
- UNIX platform
- Predictive modeling
- Database Maintenance
- Machine Learning
- Statistical Analysis
Soft Skills
- Reporting & Documentation
- Problem-solving
- Verbal & written communication
- Adaptability and fast learner
- Teamwork
Certification
Programming, Data Structures, and algorithms using Python (NPTEL)
Projects
Canadian Not-For-Profit Organizations'(NPOs') analysis (Tableau and Python)
- Collaborated with Mass Culture arts support organization Canada to develop an interactive Tableau dashboard to visualize market trends and financial metrics for Canadian arts organizations, contributing to a 15% improvement in operational efficiency.
- Performed data preprocessing and further analyzed revenue and events using Excel/Tableau, increasing revenue by 40% through optimized government funding allocation and improved charity event outcomes.
- Developed clustering model for 150+ nonprofits, guiding loss recovery and optimizing fund allocation. Leveraged data analysis to drive strategic decisions, improving overall program effectiveness by 10%.
Take the Leap Challenge (Tableau and R)
- Streamlined data analysis for the "Take the Leap Challenge" program on students' university journey, employing data preprocessing, NLP, and statistical methods to enhance decision-making.
- Utilized Tableau for visual storytelling, and WordCloud formation, driving program improvements that positively shaped the university experience.
Heart Disease Detection Using Optimized K-Means (Python)
- Extracted heart disease dataset published by World Health Organization (WHO) and conducted extensive data cleaning and preprocessing to facilitate the development of a supervised learning model.
- Developed an Optimized K-means model by integrating it with a nature-inspired algorithm known as "Ant-Lion Optimizer".
- Successfully enhanced the accuracy of the model from around 70% to 85% by applying an optimized K-means model to a heart disease dataset. Published a paper in the International Journal of Innovative Research in Technology (IJIRT) journal.
Languages
English
Full Professional
Hindi
Native or Bilingual
Timeline
Data Analyst
Capgemini
2020.09 - 2022.08
Machine Learning Engineer
Tribbianis Software Solution Private Limited
2019.05 - 2019.07
Master of Science - Data Analytics(Conc. Applied Machine Intelligence)
Northeastern University
Bachelor of Science - Computer Engineering
Mukesh Patel School of Technology Management & Engineering
Programming, Data Structures, and algorithms using Python (NPTEL)
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