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MasterHead

Hi 👋🏻, I'm Calvin!

🦄🦄 Bilingual, data-driven, insights powered, omnichannel Marketing and Sales Strategist 🦄🦄



  • 🌱 I’m continually honing my skills in SQL, Python, machine learning, deep learning, reinforcement learning, etc.

  • 😍 Interests: Data Science, Data Analytics, AI, SEO, Digital Marketing, Sales, Innovation, UI/UX, Behavioural Economics, Psychology, AR/VR, Blockchain, Financial Services, Technology, Metaverse, etc.

  • 🤓 Fun Fact: I used to assemble my own customised desktops previously.

  • 📫 You can reach me at [email protected]



Connect with me:

calvinlim

Languages and Tools:

postgresql python numpy opencv pandas scikit_learn seaborn tensorflow

Calvin Lim's Projects

ames-housing-price-prediction icon ames-housing-price-prediction

Analysed dataset and developed multivariate regression models for house sales price prediction to determine property’s fair value and recommend ways to potentially maximise house sales prices for the city of Ames, Iowa, United States.

ca1vin1im icon ca1vin1im

Marketing Strategist ❖ Insights Powered ❖ Data Driven | Data Analytics | AI | SEO | Digital Marketing | UI/UX

cicflowmeter_v4 icon cicflowmeter_v4

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

deep-fakes-detector icon deep-fakes-detector

Computer Vision (CV) deep learning (DL) capstone project to re-label videos, convert to images, crop faces, and develop EfficientNetB7-based Convolutional Neural Network (CNN) model, trained with dataset focused on Asian content and ethnicities, that correctly identifies deep fakes videos (excluding the audio component).

improve-2020-act-participation-rate icon improve-2020-act-participation-rate

Analysed trends in both the ACT and SAT participation rates, supplemented with extensive secondary research, to uncover and recommend potential strategies for improving 2020 ACT participation rates.

snscrape icon snscrape

A social networking service scraper in Python

subreddit-posts-extraction-classification icon subreddit-posts-extraction-classification

Natural Language Processing (NLP) project to scrape 2 subreddits r/DotA2 and r/leagueoflegends using pushshift.io Reddit API, pre-process data, analyse most frequent words, and develop models for posts classification to 2 separate threads.

west-nile-virus-prediction icon west-nile-virus-prediction

Created new features influencing mosquito breeding patterns, distilled insights regarding spread of West Nile Virus (WNV) as well as their mosquito vectors, and developed WNV outbreak prediction models for the City of Chicago, Illinois, United States.

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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