Search Results: 30 vacancies
...various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
~3+ years of hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras...
...Specialist
Organization
Bharti Institute of Public Policy (BIPP), Indian School of Business
Location
Hyderabad
Project Team
Forest Governance
Reports to
Executive Director, BIPP-ISB
Terms of Employment
Fixed Tenure/Full time
Joining
Rolling basis...
...handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
· Experience of working with Sequence Models in Deep Learning, like LSTMs, etc. especially in the context of Time Series Forecasting...
...with understanding the GPO requirements for AD services
Basic knowledge with M365
Active Directory hands on experience in a multi site/multi domain/multi forest environment are required. [5:58 PM] Kotagiri Vijender details are shared over the email also Rajyalakshmi garu
...ML applications.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Excellent proficiency in Python.
Experience with common data science toolkits, such as NumPy, SciPy or similar frameworks...
...methodologies such as ARIMA, time series analysis, logistic regression, survival analysis, Llama models, k-means clustering, and random forests.
Support data collection, including QA and upstream data generation improvement insights.
Ensure data accuracy and integrity...
...methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling.
~ Develops quantitative/qualitative models for forecasting losses in...
...experience in a Data Scientist/Engineer role.
3. Knowledge and experience in statistical and data mining techniques: Regression Random Forest Boosting text mining neural networks clustering.
4. Solid understanding of statistical concepts and methodologies.
5. Excellent...
Rs 12 - 16 lakhs p.a.
...in data wrangling and data analysis with Pandas and Numpy E:Should have 3 years of Working experience with ML algorithms like Random Forest, Linear Regression, Logistic Regression, Decision Trees, K Means etc Professional Attributes : A: Should have good communication and analytical...
...traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods.
Experience in Big Data technologies like Hadoop, Spark, Hive, Pig, Presto, Cassandra, Kafka and...
...and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis...
...is a plus
Expertise in building statistical models including (but not restricted to) Linear Regression, Logistic Regression, Random Forest and time series modelling
Strong conceptual knowledge of Big Data technologies like Hadoop (Spark, Hive, Pig)
Good written and...
...regression, and maximum likelihood estimators.
Knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests.
Experience writing complex SQL, data extraction, analysis and profiling.
Experience with Data Visualization Tools like Tableau...
...and Non-Parametric statistics .- Hands-on experience with Numpy, Pandas , Sklearn , Tensorflow , Keras , Pytorch, XGBoost, GBM , Random Forest etc.- Ability to address a deep learning problem with feature engineering and modeling steps with CNN , RNN , LSTM , GAN etc.- Develop...
...and algorithms to apply to data sets.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Expert at SQL and Python scripting. Strong and agile in data cleansing...
...~ Data Reporting: Power BI, creating storyboards, Dashboards, Filters etc.
~ M/L Algorithms Logistic/Linear Regression, Random Forest, Decision Trees, XG Boost.
~ Project Management and tracking KPI deliverables.
Essential Experience / Qualifications
~ Masters...
...of core data science experience in one or more below areas:
~ Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering)
~ Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks...
...well as the design and development of RWE dashboards.
Provide guidance on machine learning and data mining techniques such as random forest, GBM, logistic regression, SVM, deep learning.
Substantial experience in dimensional reduction and R packages such as ggplot,...
...Directory Federation Services (ADFS) infrastructure management Directory integration with Microsoft Azure via Azure A.D. Connect · Multi-forest management within the Active Directory as well as dealing with one-way and two way trust relationships and ADFS · Active Directory re-...
...of work, or line management of a team.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, NLP, etc.
Experience in using distributed version control software (e.g., git)
Strong experience using a variety...
