About Me
Growing up in the early 2000s, I was always captivated by technology and the rapidly evolving digital landscape. It was as if I had an insatiable thirst for knowledge that only grew stronger when I pursued a degree in computer science and engineering. Throughout my studies, I discovered that data was the golden thread that weaved together the fabric of our lives. As I witnessed the power of data in shaping our world, my fascination turned into a lifelong passion.
I am currently working as a Data Engineer for Microsoft at LTIMindtree and have recently graduated from a Master's degree in Big Data at SFU. This journey has been nothing short of transformational, as it has not only allowed me to work on numerous projects but also offered me the incredible opportunity to serve as a BI Data Scientist at YVR. During my time there, I gained invaluable hands-on experience in building data science solutions and applying various concepts to tackle real-world problems.
I am always on the look-out for opportunities in the Big Data industry where I can utilize my skills and knowledge to drive data-driven decisions and make a significant impact.
Interests
Data Science
Machine Learning
MLOps
Statistics
Natural Language Processing
Data Analysis
Buisness Intelligence
Data Engineering
Skills
- Strong foundation in statistics and probability.
- Experience with data analysis, data visualization, and data modeling.
- Knowledge of machine learning algorithms and techniques, creating and deploying models.
- Understanding of SQL and databases, including data lake and data warehouse concepts.
- Proficiency in Python. Familiarity with R and Java.
- Ability to work with large datasets and manipulate data using various tools and techniques.
- Experience with data cleaning, preprocessing, and feature engineering.
- Strong problem-solving skills and ability to identify patterns and trends in data.
Tools
- Certified Azure Databricks specialist.
- Python data science libraries, such as NumPy, Pandas, Matplotlib, and Scikit-learn.
- SQL databases, such as MySQL and Cassandra.
- Visualization tools, such as Tableau, Qlik, and matplotlib/seaborn.
- Familiarity with deep learning frameworks, such as TensorFlow and PyTorch.
- Cloud computing platforms, such as AWS or Azure, including experience with Azure Data Lake Storage.
- Git for version control and collaboration.
- Experience with MLOps and Databricks Platform.
Education
Professional Masters in Computer Science, Big Data
September 2021 - April 2023
Relevant Coursework
- Data Mining
- Machine Learning
- Natural Language Processing
B.Tech. in Computer Science and Engineering
July 2017 - August 2021
Relevant Coursework
- Artificial Intelligence
- Statistics for Buisness
- Database Management Systems
Online Certification
Experience
Data Engineer
Calgary, Alberta
- Skills: Databricks Specialist, Troubleshooting, Problem Solving, Communication
- Certified Azure Databricks specialist, adept at troubleshooting and resolving global client queries.
- Collaborated with Microsoft stakeholders and cross-functional teams to meet deadlines and achieve shared goals.
- Applied data-driven approaches to analyze and improve system performance, mitigating issues and recurrences.
- Played a key role in troubleshooting user queries related to data infrastructure, performance, governance, and networking.
- Proactively upgrading skills in data science and ML to stay at the forefront of cutting-edge technologies.
Data Scientist Coop
British Columbia, Canada
- Skills: Data Mining/Analysis, Machine Learning, Statistical Analysis, Business Knowledge, MLOps, Databricks
- Enhanced airport operations using Machine Learning to help effectively determine operating hours and resource allocation for various stakeholders such as retail units, CATSA, CBSA, and baggage systems.
- Conducted data cleaning, preprocessing, EDA, feature engineering, identified patterns and data anomalies.
- Communicated insights, and proposed data science adoption use cases to drive value and optimize operations.
- Built and fine-tuned multi-output regression models on 1M+ records, stored in Azure Data Lakes Storage, carried out extensive research, adjusted for COVID-19 impact, to eliminate 30+ hours of manual work.
- Presented actionable insights through tailored visualizations, facilitating informed decision-making.
- Collaborated with multiple departments, worked towards production environment using Azure DevOps, databricks, AutoML, MLOps, and deploying insights across Qlik dashboards, used by 250+ employees.
Graduate Teaching Assistant
British Columbia, Canada
- Skills: Instruction and Active Learning, Social Perceptiveness, Communication, Problem Solving
- Teaching Assistant for 40+ students in MACM 101 Discrete Mathematics I under Dr. Milan Tofiloski.
- Conducted weekly tutorials explaining technical concepts, clarifying doubts, evaluating student performance.
Java Developer Intern
Bangalore, India
- Skills: Front End Frameworks, Responsive Design, User Interface, Database Management
- Worked on assignments aimed at enriching basic understanding and workflow of Java and web concepts
- Used various technologies to recreate and optimize basic corporate web page using NetBeans, Tomcat, JDBC, MySQL
Projects
- All
- Data-Science-ML
- Full-Stack
Skills
Languages and Databases
Frameworks
Tools
Resume & Links
Contact
My Address
Vancouver, Canada
Social Profiles
viddhilakhwara@gmail.com
Contact
+1 (236) 865-9099