MANISHA SHARMA

• Competed against approximately 12L candidates and secured an All India Rank 6559 in IIT-JEE (Main), 2018
• Competed against approximately 1.6L shortlisted candidates and secured an All India Rank 6510 in IIT-JEE (Advanced), 2018
• Ranked in top 250 scholars from nearly 580 JNVs across India in Grand Dakshana Selection Test for free JEE Coaching Program, 2015
• Qualified in Jawahar Navodaya Vidyalaya Selection Test (JNVST), ranked in top 80 candidates out of approx. 12000 candidates, 2010

Machine Learning by Stanford University

• Secretary, Nationals Antaragni 2019, IIT Kanpur Cultural Festival, April'19-Oct'19, Collaborated with 8 secretaries and 3 managers to manage and plan road trips to be conducted in 8 different cities and their proper conduction
• Senior Executive, Events Udghosh 2019, IIT Kanpur Sports Festival, April'19-Sep'19, Collaborated with 6 secretaries and 3 managers to arrange matches and ensure judges and coaches for 30+ basketball teams

Basketball, Inter-IIT Sports Meet 2018, Sportech 2019 (IIT Delhi Sports Festival), Udghosh 2019 (IITK Sports Festival), Rangbhoomi 2020 (NIT Kurukshetra Tournament), Won 1 Bronze in Rangbhoomi (NIT Kurukshetra Basketball Tournaments) 2020, Practiced basketball almost daily from 6.30pm to 9.00pm and participated in 40 day long rigorous summer camp 2018-2020, Recipient of Best-Incoming Sportsperson Award, IIT Kanpur Games and Sports Council 2019, Kabaddi, 4 cluster, 3 regional, 2 national, 2 School Games Federation of India (SGFI) level, Won over 4 GOLD medals under Navodaya Vidyalaya Samiti (NVS) 2012-2015, Won 1 Silver in 3km walking and 1 Bronze in 200m running in 24th H.P. Cluster Level Athletics Meet 2013, Acharya, Aagaz 2019 - Guided a team of 11 Fresher's in Intra-Institute Sports Event and secured 2nd position, 2019, Executive, Takeoff Event Cell Techkriti 2019, IIT Kanpur Technical Festival, 2019, Executive, Events Udghosh 2018, IIT Kanpur Sports Festival, 2018, Attended National Cadet Corps (NCC) camp from 7th February, 2014 to 16th February, 2014, 2014, Qualified NCC certificate 'A' examination held under authority of the Ministry of Defense, Government of India, 2015

Auto Document Filing System, Dr. Veena Bansal, May'21-July'21, To create a customized web-application based auto document filing system capable of uploading and searching documents, Built a system capable of uploading and searching documents-Emails, Invoices and others using Django as backend, Extracted important insights from documents such as headers, paragraph, keyword etc. and stored in MongoDB, Included various features like auto-suggestive searching and search filters for easy and customized searching Suez Canal Blockage, Dr. Faiz Hamid, ongoing, To analyze the disruptions in global supply chains of consumer goods and shipping industries due to Suez canal blockage, Scraped 80K+ tweets posted by various shipping companies and end consumers using Twint library of python, Segmented the sections of society affected across 4 categories by applying k-means clustering and k-medoids clustering, Performed Sentiment analysis on reactions of common people using Naïve Bayes classifier & visualized its variation, Observed change in behavior of sentiments from negative to positive with a 40% conversion rate over a period of 2 months Derivative Contracts, Dr. Suman Saurabh, Aug'21-Sept'21, Analyzed derivatives segment on MCX, NCDEX, NSE, BSE listing the indices and underlying asset for Futures and Option contracts, Exposed to different options style-Exotic options with standard exercise, Non-vanilla path depended exotic options etc., Created payoff and profit tables to estimate profit/loss of different options traded in the derivative market Naïve Bayes Classifier for Resume Selection, June'20, Built resume selector using Naïve Bayes classifier to predict whether a resume text is flagged or not with an accuracy of 84%, Performed exploratory data analysis, data cleaning-removing punctuation and stop words and prepared the data by applying count vectorization Image Data Augmentation with Keras, July'20, Used the ImageDataGenerator from Keras' Image Processing package for data augmentation and data normalization, Applied variety of augmentations like shear transformation, channel shift, rotation etc. to increase number of examples in training set