Keshav Chauhan

Keshav Chauhan - |-| York, England | GitHub Summary Analytical and detail oriented Data Scientist with 3+ years of experience leveraging Python, SQL, and Machine Learning to deliver business insights. Skilled in data preparation, visualisation, predictive modelling and stakeholder communication. Proven ability to increase revenue through data-driven decision-making. Seeking a data analyst role in a dynamic organisation to drive impactful analytics solutions. Technical Skills Programming: Python, SQL, Bash, Java, C++, JavaScript, Fortran, Swift Data Analysis: Pandas, NumPy, Matplotlib, Seaborn Machine Learning: Scikit-learn, TensorFlow, Keras, Logistic Regression, Random Forest, LDA Data Visualization: Power BI, Tableau, WordClouds Databases: MySQL, SQLite, MongoDB Tools & Frameworks: Jupyter, Git, Django REST Framework, Django , Selenium, BeautifulSoup. Others: Feature Engineering, PCA, Data Cleaning, A/B Testing, Unit Testing, NLP Professional Experience Data Analyst & Team Lead - AdsNStu , India | Mar 2021 – Aug 2023 • Analyzed customer behavior data using pandas and seaborn, uncovering trends that led to a 30% increase in sales. • Led product testing and A/B testing consultations for clients, enabling evidence-based marketing decisions. • Automated performance reporting pipelines, reducing manual reporting time by 50%. • Mentored 3 junior analysts and collaborated cross-functionally with developers and product teams. Data Analyst Intern - Travel Triangle, India | Aug 2020 – Aug 2021 • Built churn prediction models using Logistic Regression and Decision Trees with >75% accuracy. • Wrote optimized SQL queries to pull customer segments for targeted marketing analysis. Data Analyst Intern - NetMeds, India | Jul 2019 – Jul 2020 • Visualized customer behavior over a 3-year span, improving marketing insights through dashboarding. • Developed and deployed Django REST API for internal data access tools. • Automated repetitive campaign tasks using Selenium, reducing marketing ops workload by 30%. Projects Consulting Data Scientist - University of York | Jan 2024 • Collaborated in a team to stimulate a professional consulting scenario, tasked with identifying active researchers working on GSTM1 Protein and mapping their collaborative networks. • Conducted stakeholder-style meetings with professors acting as board members. • Demonstrated communication, teamwork, and data-sourcing skills; documented project outcomes and key learnings in a personal re ection report. Predictive Modeling on Paediatric Appendicitis Cases - University of York | Jan 2024 • Built a classi er to predict appendicitis using limited clinical data (n=782), outperforming physician diagnosis (>80% accuracy). Trump Tweet Sentiment Analysis (NLP) - Feb 2024 • Preprocessed and classi ed sentiments on political tweets using supervised ML (Logistic Regression, SVM). • Achieved >80% accuracy. Steam Game Review Topic Modelling - Mar 2024 • Conducted unsupervised topic modeling using LDA to analyze 3 game genres’ reviews. • Visualized insights via word clouds and bar plots. Deep Learning for Electron Ptychography (Research Project) - Jul–Sep 2024 • Developed a CNN to predict atomic positions from simulated images. • Utilized domain-speci c packages: abTEM, Hyperspy, py4DSTEM. Education ff fl fi fi fi University of York – MSc in Data Science |- | Grade: 71% GGSIPU, Delhi – BTech in Information Technology |- | Grade: 79%