Radhika Sachdev
@radhikasachdev
Data Scientist
Noida, Uttar Pradesh, India
Radhika Sachdev is a Data Scientist with expertise in developing advanced machine learning models across various sectors. She possesses strong skills in deep learning, CNNs, and time series analysis, applying these techniques to complex problems such as medical image analysis and network expansion planning. Her professional experience includes roles at Tata Communications, where she focused on predictive modeling and edge development solutions.
Experience
Engineer and Researcher - Edge Development
Tata Communications
Analyzed network traffic and bandwidth utilization to identify potential circuit upgrades. Performed data mining and exploration to understand external event effects on bandwidth utilization. Implemented Facebook Prophet and Bidirectional LSTM for forecasting circuit upgrades. Experimented with K-means clustering using Dynamic Time Warping. Currently involved in R&D for analyzing edge-node health and automating network routing.
Data Science Intern
Performed geo-spatial clustering using OPTICS to identify untapped, high potential zones within tier-1 and tier-2 cities in India for network expansion. Estimated cluster-wise bandwidth and leveraged Haversine distance. Applied Hierarchical Clustering and visualized results on Open Street Map using QGIS and Plotly.
AI Based Circuit Upgrade Prediction
Tata Communications
Experimented with Kubeflow to create end-to-end pipelines for ML use-cases and applied multitenancy. Contributed to research and development of intelligent features for the edge to offer Platform as a Service (PAAS).
Education
CHRIST (DEEMED TO BE UNIVERSITY)
M.Sc. Data Science
Merit Scholarship Holder. Conducted a seminar on Convolutional Neural Networks and its applications. Authored a research paper on 'Reverse Image Similarity Search'.
MIRANDA HOUSE, DELHI UNIVERSITY
B.Sc. (Honours) Mathematics
Served as Vice President of The Entrepreneurship Cell (2018-19).
Licenses & Certifications
Deep Learning Specialization (Neural Networks and Deep Learning)
Coursera
Guided Project on image processing with python
Coursera
Guided Project on Image Classification with CNNs using Keras
Coursera
Data Science and Machine Learning using R programming
WeekendR Institute