Senior Data Analyst
Codrivity
Total years of experience :4 years, 1 Months
Analyzed and interpreted complex datasets to identify trends, patterns, and insights, directly influencing business strategies and decisions.
Developed and implemented advanced data models and dashboards using tools such as Python, SQL, Tableau, and Power BI.
Led cross-functional data projects, collaborating with engineering, marketing, and product teams to optimize data collection and analysis
processes.
Automated and streamlined data workflows, reducing analysis time by up to 30%.
Conducted data quality assessments, ensuring data accuracy and integrity across various databases and data sources.
Provided strategic recommendations to leadership based on predictive analytics and KPI performance tracking.
• Delivered custom AI/ML solutions tailored to clients specific needs, from model selection to deploymen
• Provided strategic consulting on AI/ML adoption, project scoping, technology selection, and implement
Translated business problems into technical models for data-driven solutions
Developed software prototypes using Python and C++
Authored and edited technical documentation
Implemented various machine learning algorithms including SVM, Naïve Bayes, Logistic Regression, LDA, Decision trees, Random Forests, and
more
Designed, developed, and implemented novel computer vision algorithms using deep learning frameworks.
Monitored web traffic and analyzed website performance.
Developed and implemented novel computer vision algorithms, enhancing product capabilities.
Monitored web traffic, resulting in improved website performance by \{15%\}.
Distinguished Graduate: I graduated with distinction in my Master's in Data Science, demonstrating exceptional academic performance. Award-Winning Dissertation: I received an award for my dissertation, Personality Prediction Based on Handwriting, which involved designing and implementing machine learning models to analyze handwriting samples and predict personality traits. This project allowed me to showcase my expertise in data preprocessing, feature extraction, and classification algorithms. Capstone Project: I completed a significant capstone project, Recommender System Development for E-commerce, where I implemented an advanced recommendation system using natural language processing and deep learning. I leveraged collaborative filtering and content-based methods to provide tailored product recommendations. Collaborative Research: I participated in collaborative research with faculty members, contributing to projects involving predictive modeling for customer churn analysis and big data analytics to identify trends in consumer behavior. Workshops and Seminars: I actively engaged in university-hosted workshops and seminars to enhance my expertise in data science tools like TensorFlow and PyTorch, while keeping up to date with cutting-edge techniques in machine learning and AI. Student Leadership: I took a leadership role in the Data Science Club, organizing events to foster peer collaboration and learning. I coordinated hands-on workshops and hackathons where students could work on real-world data challenges. Technical Skills Development: I developed advanced proficiency in programming languages and tools such as Python, R, SQL, and specialized machine learning frameworks like scikit-learn.
