Orchid Pharma Ltd.
Gurugram
Streamlined end-to-end project activities—including civil work, procurement, delivery schedules, and manpower deployment , while managing a25-member team,reducing execution delaysby15–25%. DevelopedPython scriptsandExcel dashboardsto automate daily reporting, cutting manual effort by30%andenabling faster, data-driven decisionsfor stakeholders. Analyzed historical vendor performance using weighted KPI scoring,decision tree classification, and regression modelsinPython (pandas, NumPy)to improve vendor selection and mitigate project risks. Coordinated multiple concurrent tasks across vendors, consultants, and internal teams, ensuring seamless collaboration and timely issue resolution.
My Analytics School
To Developed effective collaboration strategies withbusiness clubs of Tier 1 collegesto proactively promote ananalytics cultureandstrategically marketour products to generate a supply ofleads Employed advanced analytics and visualization tools to extract actionable insights from user behavior Orchestrated campaigns boosting user interactions by 40%and community participation by25% Achieved a30% increasein engagement and20% user base expansionthrough impactful data-driven
B.Tech
among 152K shortlisted candidates.
amongst the 1 million candidates.
Prof. Siddhartha Panda | UGP
Glucose Concentration Analysis in Artificially Modified Sweat Solution Created a glucose biosensor by immobilizing GOx on a conducting polymer-modified SPCE Prepared precise solutions including sweat, modified sweat, and glucose using defined serial dilution Label-free glucose detection via electrochemical experiments, promising improved diabetes management
Shubham Aryan | My Analytics School
Performed Exploratory Data Analysis on Covid - 19 dataset Conducted a comprehensive EDA on Covid-19 data using Python and Tableau to gain insights into the pandemic’s impact.Employed data cleaning and preprocessing techniques with Pandas and NumPy Utilized visualization libraries such as Matplotlib and Seaborn to create various types of plots, including line charts and bar charts, to visually represent the data and uncover patterns and trends for analysis Analyzing data for insights into regional pandemic impact, mortality rates, enhancing understanding Developed a dynamic dashboard using Tableau to visualization and representation of the data insights
Self Project
To Develop an Email Spam Classifier to accurately distinguish between spam and legitimate emails Analyzed spam & non-spam dataset using NLTK library to &vocabulary and a bow representation Trained SVM and K-NN classifiers on processed data for predictive labeling Employed Matplotlib for visualizing predictions, achieving 0.98 accuracy and 0.94 AUC score
Self Project
Perform sentiment analysis on IMDB movie reviews using NLP techniques to classify sentiments accurately Successfully implemented sentiment analysis on IMDB dataset that consisted of 50,000 movie reviews Preprocessed data by doing vectorization, removing stop words, stemming, lemmatization and n-grams Exceeded 90% accuracy mark by incorporating methods like count vectorizer and TF-IDF Trained models such as Logistic regression and linear SVC for classification into required categories
Skating club | Games and Sports Council
Coordinated and mentored a team of 16+ secretaries, managed club finances and budget, and organized workshops. Collaborated with PRAYAS IITK which aimed at teaching basics of skating to children of marginalized sections of society. Managed the online footprint of the club with a Facebook, Instagram having 1700+ followers and 500+ daily post reach.