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|| Machine Learning Engineer || Statistician || Runner ||
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
StravaDataPipline
June 17, 2022 – June 21, 2022
:arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow
View ProjectEssayCompanion
May 20, 2022 – June 9, 2022
:globe_with_meridians: :memo: An NLP powered Google Chrome extension to summarize, paraphrase, get named entities, and find keyword synonyms from highlighted text.
View ProjectCustomerChurn
November 16, 2021 – January 11, 2022
:recycle: :telephone_receiver: Predicting whether a customer will change telecommunications provider and tracking experiments with mlflow
View ProjectPingPongRank
October 6, 2021 – November 28, 2021
:tennis: :scroll: Ping pong ranking system, based on chess ELO rankings, that my friends and I use to decide who is actually better at ping pong! App built and deployed using Streamlit with a BigQuery backend.
View Projectstrava2ap
July 15, 2021 – July 17, 2021
:arrows_counterclockwise: :running: Automation Task: automatically updates one running social media using titles and descriptions of the other.
View ProjectStravaKudos
June 21, 2021 – October 3, 2022
:running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
View Projectwhatscooking-deployment
December 4, 2020 – November 26, 2021
whatscooking-deployment — GitHub repository
View ProjectAlmost-any-ML-problem
November 7, 2020 – February 4, 2021
:notebook: :chart_with_upwards_trend: Functions from Abhishek Thakur's book Approaching (Almost) Any Machine Learning Problem.
View ProjectWhatscooking-
January 28, 2020 – February 16, 2023
:fork_and_knife: :thumbsup: Recipe reccomendation system using Word2Vec, TF-IDF, and Cosine Similarity.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for data science and machine learning through diverse personal projects. The projects range from recommendation systems and NLP applications to data pipelines and predictive modeling, indicating a broad interest within the data science domain. The use of various technologies like Python, Docker, Streamlit, and cloud services (S3, Redshift, BigQuery) suggests adaptability and a willingness to learn new tools. The focus on personal projects, while demonstrating initiative, means there is no direct evidence of collaboration within a team or experience in a corporate environment, which could be a factor for cultural fit in a structured team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, evidenced by numerous personal projects. The focus on personal data (Strava) suggests an analytical mindset and curiosity. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or professional communication in an operational context.