Jenil Patel

Data Analyst

As an aspiring data analyst, I am deeply committed to advancing my career within a professional setting. My pursuit of excellence is evident through the completion of numerous online certificates and a collection of personal projects that showcase my technical capabilities. I am enthusiastic about contributing my skills to a dynamic and growth-oriented organization, and I am eager to leverage my expertise in data analysis to drive informed decision-making and enhance operational efficiency.


Education

Conestoga College

Computer Programming and Analyst
Coursework: Advanced programming with .NET, Database Connectivity using Advanced Controls, Database Design and Maintenance, JavaScript Programming, Game programming with Data Structures, Computer Security and Network Operating Systems
Sep 2020 - Apr 2023


Centre for Development of Advance Computing (C-DAC)

Diploma in Computer Multilingual Programming
Coursework: Advanced Object-Oriented Programming (OOP) in C and C++, Java Programming, Data Structures
Oct 2019 - Mar 2020

Experience

Data Analyst

Brik Partners

May 2023 - Present

Responsibilities:
• Performed data collection, data cleaning, and data preprocessing tasks to prepare raw datasets for analysis.
• Utilized SQL and Python to query and extract data from relational databases, APIs, and external sources.
• Conducted exploratory data analysis (EDA) to identify patterns, trends, and outliers, providing valuable insights to stakeholders.
• Employed data visualization tools such as Matplotlib and Seaborn to create informative charts, graphs, and dashboards for data presentation.

Data Analyst

Tusk International

June 2019 - August 2020

Responsibilities:
• Effectively identified and communicated business issues through data-driven analysis.
• Modeled and charted business processes for operational activities and capital planning.
• Constructed complex data models using data querying tools.
• Created and maintained routine KPI reports.
• Analyzed business processes for effectiveness and efficiency, developing enhancement strategies.

Projects

Data Analysis of IMDB Dataset

• Conducted comprehensive data wrangling on a movie dataset by utilizing essential Python libraries.
• Expertly managed missing data through meticulous handling techniques and removed duplicates and extraneous columns to ensure data quality.
• Conducted a thorough structural analysis of the dataset, including an evaluation of data types and identification of unique values.
• Effectively addressed missing data concerns by employing strategies to impute null values and replace zero values within the budget column.
• Skillfully created data visualizations, including histograms, to gain insights into various dataset variables.

SMS Spam Classification

• Spearheaded the development of a high-performing SMS spam classification system, taking charge of data preprocessing, feature engineering, and the implementation of diverse machine learning models, including Naive Bayes, Random Forest, and Support Vector Machines.
• Achieved remarkable results through meticulous experimentation and model fine-tuning, ultimately attaining an accuracy rate exceeding 95%, underscoring a commitment to delivering top-tier performance.
• Distinguished achievement included the seamless integration of advanced text preprocessing techniques such as tokenization, stop-word removal, and stemming, significantly bolstering model generalization while mitigating overfitting.
• Crafted a robust cross-validation framework to safeguard model reliability and prevent data leakage, ensuring the system's effectiveness and consistency.

Certificates


Let's work together.