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Sadia Anjum

Product Management
New York, United States
Hire Talent
Skills
Machine Learning (ML)
About
SADIA ANJUM's skills align with IT R&D Professionals (Information and Communication Technology). SADIA ANJUM appears to be a low-to-mid level candidate, with 3 years of experience.
Work Experience

Junior R&D Engine

NXTHI
November 2020 - August 2021
  • e r Spearheading the development of healthcare startup product strategies encompassing technology design and in-depth research on targeted healthcare topics for business enhancement. Diligently staying abreast of the latest advancements in AI technology and global AI startups to inform strategic decision-making. Conducting comprehensive data analysis to derive insights crucial for product development and optimization. Collaborating closely with cross-functional teams to design innovative products integrated with cutting-edge AI technology, ensuring alignment with business objectives and market demands.

Lead technical projects with significant business impact

Ge nofax
November 2022 - April 2024
  • l California, LA || Dhaka, Bangladesh AI/ Mac hine Le arning Engine e r Preprocessed and analyzed data, develop features, and assessed model performance. Demonstrated leadership in taking charge of releasing the product in both Australian and US market. Collaborated with diverse teams to grasp company requirements and devise AI/ML solutions, integrating models into production systems. Maintained and monitored deployed models, ensuring accuracy and scalability. Created efficient pipelines to enhance product throughput and efficacy. Lead technical projects with significant business impact. Developed demos, documentation, and provide training to stakeholders. Apply ML/AI research to innovate and improve products, processes, or technologies. Stayed on top of the latest advancements in machine learning and related fields through engagement with in-house researchers from esteemed institutions like UC-Berkeley. eera.anjum13@gmail.com @codingthoughts South Hollis, NY-11423 LinkedIn My Github EXPERTISE Python SQL Data Visualization Django PyTorch TensorFlow HuggingFace Language Models Neural Networks Tableau Excel S3

Junior Mac

Maya Digital He
September 2021 - March 2022
  • hine Le arning Engine e r Developed Natural Language Processing projects focusing on Bangla and Urdu languages for spam detection on an application dashboard. Implemented Deep Learning classification for user requests to doctors with relevant specializations, along with the creation of functional APIs for model consumption. Conducted maintenance tasks on existing Deep Learning models. Proficiently worked with TensorFlow and PyTorch, utilizing pre-trained language models from frameworks like HuggingFace. Conducted research on Graph Neural Networks and collaborated on projects involving GAE, GAT, and VGAE models.

Conte nt Strate gist and Marke ting Inte rn

Jarvis Digital l
January 2019 - April 2019
  • Developed compelling content and formulated campaign pitches tailored to clients' needs. Provided support in devising effective strategies, leveraging a deep understanding of brand awareness, identity, and online presence. Crafted comprehensive pitch decks to articulate and present proposed ideas persuasively. Conducted thorough research on global campaigns to gather insights and inform campaign strategies. PROJECTS DONE Bangla handwritte n digit eera.anjum13@gmail.com re c ognition by ne ural ne tworks @codingthoughts Predicting Bengali digits from Bengali Hand-written images. South Hollis, NY-11423 He ad-ge ar for visually impaire d LinkedIn using yolo algorithm Ideation project proposed in BUET ROBO CARNIVAL 2019. EXPERTISE Conte nt base d movie re c omme ntation syste m Python using basic natural language programming SQL A database of 5000 movie is used to train the learner and with every Data Visualization input of a movie watched by the user, 5 similar movies will be output Django that the user might like. PyTorch TensorFlow HuggingFace VIRTUAL ASSISTANT MODEL FOR E-COMMERCE Language Models Neural Networks Trained an LSTM model on a Kaggle data of tweet and 8 different Tableau emotions. The model then suggests products from an e-commerce site Excel based on the mood of the user. S3
Education

BRAC University

Bachelors in Computer
January 2014 - January 2019
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