Building, FutureX [Mar 2022 - Ongoing]- Tracking 125,000+ projects, creator's & influencers across NFTs, Gaming, DAOs, DeFi!
Website: darshang.xyz/futurex
- Referred by folks Hashed, Hubspot Ventures, SignalFire, CoinFund, so you are in good company :)
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- Helping start ups raise funds / get advise on what they are building
Web3 x Product, Loco [Apr 2022 - Ongoing]- Leading the development on building India’s first NFT marketplace for the eSports gaming community
- Part of the Live Ops Team - working with folks across design, engg, data science, marketing, performance to conduct tournaments on the platform
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- Leading the efforts for enhancing the user onboarding journey
Founder & CEO, JobsQuest [Jan 2020 - Ongoing]- Successfully built an audience of 100k+ with $0 spent in infrastructure & marketing, partnered with 100+ companies like Byjus, Great Learning, scaling to 150k+ MAV, generating 50mn+ impressions, with an engagement rate of 11.29%
- Led & managed a team of 20+, driving the growth of product by acquiring users, building communities & partnerships
- Overlooked the product, including market analysis, user interviews, creating user personas & roadmaps, building websites. Set up GTM strategy spotting trends & patterns, setting goals, distribution channels, pricing & branding
- Building JobEasy, a tool for personalized job recommendations, candidate filtering, and quiz portal
- Partnered with IIM Indore, IIT Guwhati, Somaiya, NM College as their "Connectivity" & "Social Media" Partner
- Conducted workshops on resume building and cover letter writing, further showcasing the importance of building a strong community and network
Data Scientist, BookMyShow [Apr 2021 - Apr 2022]- Led the development of building a model to personalize the top navigation bar of a user with relevant live events to boost the CTR by 5%, improving the retention & enhancing discovery; developed model to rank the widgets using topic modeling
- Worked on pattern matching algorithms and improved data quality to increase the search click rate by 7%; built a voice-based booking system for enhancing the user experience and reducing costs
- Successfully replaced the existing Alteryx workflows with automated processes reducing the cost by 90% per year, working on optimizing and improving process efficiency, thus reducing the overall costs by 60%
Venture Fellow, Venture Cooperative [Feb 2022 - Ongoing]- Part of Cohort 2, comprising of 180 VCs & Operators across the globe
- The Venture Cooperative is a highly selective free educational program and inclusive community that makes Laconia's investments, processes, and learnings accessible for the next generation of early-stage investors.
- Cooperative participants participate in Laconia’s investment processes, collaborate on due diligence, hear perspectives from industry leaders, share their expertise within the community, and collaborate with early-stage founders.
VC Scout, SHL Capital [Jan 2022 - Ongoing]- Scouting for Sahil Lavingia to invest $100K-$250K in pre-seed / seed stages
- Please reach out if you are building something interesting. Would love to chat and learn more!
VC Scout, Calm Company Fund [Jan 2022 - Ongoing]
Research Associate, Stanford Graduate School of Business [Mar 2021 - Feb 2022]- Assisting the professor with their research in finance and economics; working on historical and geospatial data
- Built algorithms & processes for pattern-matching, data scraping & automation, improving the data quality by 88%
- Worked on NLP : FuzzyWuzzy, Topic modeling, Pattern Matching, Data Viz: Geo-Plotting, Graphs, Data Engineering: Automation, Data Scrapping
Generalist, Stealth Startup [Feb 2021 - Nov 2021]- Worked closely with Professor from Wharton - for helping them launch an educational program in India the educate the importance of business impact to the data scientists
- Solely responsible for the end-to-end set up of all the aspects of the product funnel - user research, building MVP, acquisition, business-model, post-program engagement via communities & placements
Venture Fellow, Aureolis Ventures [Aug 2021 - Oct 2021]- Worked with the principal on preparing a database of the various companies which have got recently funded in edtech
- Worked on reading articles and reports to understand the landscape better
Data Engineer, ZEE5 [Jul 2020 - Apr 2021]- Interacted with cross-functional teams to understand the requirements and business challenges, and recommended high profitability app categories for customer targeting & segmentation
- Designed pipelines for the recommendation engine, enhancing operational efficiency by 60% by reducing 100+ hours man hours for serving more than 200mn+ users
- Carried out analysis of different social media platforms to understand the outreach
- Tech Stack: Python, Spark, AWS, SQL, Postgres, Airflow
Tech & Policy Lead [Jul 2020 - Jan 2021]- Part of leadership committee at MIT’s Vaccine Conference, grants & fundraising team & vaccine app development
- Led a team of 40+ members across the globe to research COVID-19 Testing & Vaccine methodologies [link]
- Presented my research on geospatial privacy preservation of users using k-anonymity at GISTAM Conference [link]
- Reference to all the research papers : link
Organising Committee | Vaccines for All Conference, MIT [Jul 2020 - Jan 2021]- Part of the core organizing committee
- Led efforts for operations and logistics
- Worked on inviting speakers for the conference and co-ordinating with them
Open Source Contributor - Dataset library, Hugging Face [Dec 2020 - Dec 2020]- Participated in the dataset print, contributing the following datasets for the hugging face dataset library
Data Analysis Intern, ACG World [Apr 2020 - May 2020]- Worked on understanding the process capability of the system using Python and SQL
- Created an application for showcasing the results using Power BI.
- Carried out Exploratory Data Analysis, normalising the data where required and automating the task.
- Created a landing page for the user to understand the complete data distribution
Data Science Intern, Ambrapali Electrotech Pvt. Ltd [Dec 2019 - Jan 2020]- Wrote customised algorithms for pattern recognition and classifying the sentence for sentimental analysis leveraging sentence based encoding, word encoding, data mining techniques.
- Applied transfer learning on sentence for sentimental analysis and better user experience.
- Researched and implemented tasks based on Entity based opinion mining.
Research Analyst, GoOffer [Nov 2019 - Dec 2019]- Researched about different machine learning models pertain- ing to the Election Poll prediction system and drafted documents for the same.Made additional changes and provide inputs for the already drafted files as per the demand
- Studied models such as LSTM, decision tree, logistic regression, random forests
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Data Science Intern, Xilytica [Oct 2019 - Dec 2019]- Study of market based on Payment Wallets, where Twitter Data and other rss feed from different platforms is analysed using various NLP techniques of understanding the sentiments.
- Understanding RASA(NLP) for chatbot development and developing an ecosystem for the company on AWS for Deep Learning.
- Worked in building a bridge between the cloud database and local server by writing python scripts using libraries such as boto3, oss2,scipy, tweepy
Data Science Intern, B3-DS [Aug 2019 - Sep 2019]- Developed a voice controlled question-answer system using the TF-IDF model
- Converted each column of the .xlsx into separate files using xlrd library for information retrieval and log file creation using logger.
- Worked with python libraries such as nltk, tfidf, pandas, numpy, speech recognition, gtts, playsound, xlrd , logger
Summer Intern, TEDxGateway [Jun 2019 - Jul 2019]- Part of the core team to organise an event of 150+ speakers across different walks to life
- Responsible for leading the efforts of logisitcs & operations
General Secretary, KJSCE Students’ Council [Jun 2017 - May 2019]- Headed a group of 45+ members to conduct Symphony, Skream, and Abhiyantriki, having a footfall of 75,000+
- Successfully generated sponsorship of over ₹50L+ collaborated with Snapchat, HP, Xiaomi, Redbull, Coca-Cola
- Successfully hosted India’s top celebrities including Vishal Shekhar, Amit Trivedi manging their entire tech rider
Darshan’s Experiences Work Experience Collabscollaborations
